{
 "metadata": {
  "name": "",
  "signature": "sha256:5d69a6b176ad46425348adfa43381642fe3fe4247d9678063515d52f3f896f5a"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext watermark\n",
      "%watermark -d -a 'Sebastian Raschka' -v"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Sebastian Raschka 22/12/2014 \n",
        "\n",
        "CPython 3.4.2\n",
        "IPython 2.3.1\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br>\n",
      "<br>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Star Wars API"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This notebook is all about exploratory data analyses based on the new and awesome [Star Wars API](http://swapi.co/) by Paul Hallett."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "- [Planets](#Planets)\n",
      "- [People](#People)\n",
      "- [Spaceships](#Spaceships)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br>\n",
      "<br>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Planets"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[[back to top](#Sections)]"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import requests\n",
      "import json"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "d = {'name':[], 'diameter':[], 'population':[]}\n",
      "\n",
      "url = \"http://swapi.co/api/planets/?page=1\"\n",
      "\n",
      "while url:\n",
      "    r = requests.get(url)\n",
      "    data = json.loads(r.text)\n",
      "    for i in data['results']:\n",
      "        d['name'].append(i['name'])\n",
      "        d['diameter'].append(i['diameter'],)\n",
      "        d['population'].append(i['population']),\n",
      "    url = data['next']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "\n",
      "df = pd.DataFrame(d)\n",
      "df = df[(df['diameter']!='unknown') & (df['population']!='unknown')]\n",
      "df['diameter'] = df['diameter'].astype(int)\n",
      "df['population'] = df['population'].astype(int)\n",
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>diameter</th>\n",
        "      <th>name</th>\n",
        "      <th>population</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>  12500</td>\n",
        "      <td> Alderaan</td>\n",
        "      <td> 2000000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>  10200</td>\n",
        "      <td> Yavin IV</td>\n",
        "      <td>       1000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 118000</td>\n",
        "      <td>   Bespin</td>\n",
        "      <td>    6000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>   4900</td>\n",
        "      <td>    Endor</td>\n",
        "      <td>   30000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>  12120</td>\n",
        "      <td>    Naboo</td>\n",
        "      <td> 4500000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "   diameter      name  population\n",
        "0     12500  Alderaan  2000000000\n",
        "1     10200  Yavin IV        1000\n",
        "4    118000    Bespin     6000000\n",
        "5      4900     Endor    30000000\n",
        "6     12120     Naboo  4500000000"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly.plotly as py\n",
      "from random import random, randrange, seed\n",
      "seed(456)\n",
      "\n",
      "traces = []\n",
      "\n",
      "for i in df.index:\n",
      "    tr = Scatter(\n",
      "        x=df.ix[i]['diameter'], \n",
      "        y=df.ix[i]['population'],\n",
      "        name=df.ix[i]['name'],\n",
      "        marker=Marker(\n",
      "        color='rgb(%s, %s, %s)' % (randrange(0,256), randrange(0,256), randrange(0,256)),\n",
      "        size=0.001*df.ix[i]['diameter']))\n",
      "    traces.append(tr)\n",
      "\n",
      "layout = Layout(\n",
      "        title='Star Wars API - Planets',\n",
      "        xaxis=XAxis(\n",
      "            showgrid=False,\n",
      "            zeroline=False,\n",
      "            title='Diameter [km]',\n",
      "            tick0=-1,\n",
      "            type='log'),\n",
      "        yaxis=YAxis(\n",
      "            showgrid=False,\n",
      "            zeroline=False,\n",
      "            title='Population',\n",
      "            type='log'))\n",
      "\n",
      "fig = Figure(data=traces, layout=layout)\n",
      "py.iplot(fig, filename='SWAPI-Planets')\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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       "metadata": {},
       "output_type": "pyout",
       "png": 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kQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DB\nq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkC\nFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6\nJ0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAES\ncGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIk\nQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAES\nIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIk\nQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAES\nIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIk\nQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00IS\nIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4a\nTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f\n00ISIAESIAESIAEScGkCFLwu7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIAEScGkCFLwu\n7X4aTwIkQAIkQAIkQAL6J0DBq38f00ISIAESIAESIIF/CCQkxiH6QQTijX9K8/Lwhp9PIDyNf7Lp\nlwAFr359S8tIgARIgARIgAT+IWAwJCEs+g5i4iLNMsnnHYACfkXg5uaeq8xatWqFrVu3ml1j4sSJ\naNq0qfpiy1kCFLw5y5OzkQAJkAAJkAAJOCCBOxHXEJcQm+nOvD19USSwRI7s/u2330bLli3Rpk2b\nNPNR8OYIXpsnoeC1GRkHkAAJkAAJkAAJOBOBiJh7iIy9r2nLAb4FEZivkKa+ljpdunQJs2fPRlJS\nEmbNmkXBmy2aOTOYgjdnOHIWEiABEiABEiABByVwMywEiUkJmnbn4e6J4AJlNPW11GnBggWoVKmS\nSl145513ULZs2ZSuqSO8Z86cwYwZMxAbG4vy5csjMTERzZs3VykNV65cwaefforbt2+jePHiGD58\nOIKDg9U8vXr1Qu/evTF37lzUqlULI0aMwI4dO7BmzRo8ePAAhQoVwpgxY9Q4aZk969KlC9q1a4eD\nBw8iOjoa1atXx8CBA7NlvyMOpuB1RK9wTyRAAiRAAiRAApoISPTWzc3NYt+kpEREPQjXNJepk79P\nfri7e2Q6RiLB5pqIVhGkCxcuxP/+9z+EhobizTffzCB4ExIS0KNHDwwbNgxPPPEEzp49i0GDBimh\n2rhxY/Tr1w99+vRBvXr1sH37duzZsweTJ09W87z88suoW7cuhg4dCn9/f/W9ixcvIigoCIGBgVi8\neLES0TKftWciwGUfnTp1UhFpGSNr16xZ0yZmjt6ZgtfRPcT9kQAJkAAJkAAJWCRw7d4lu9ApUai8\n2XUPHDgA+ZKIrERMJZd3yZIlRgGdfBjOFOGV6O5nn32mhLGpiYCVaGupUqUwbdo0SKRYmojoF198\nEZs2bYKnp6eaQ0St9DPXjhw5gg0bNmDChAkZHqd/JnOtWrUKBQsmC3hJwahcubLKP9ZTo+DVkzdp\nCwmQAAmQAAm4GAGJ8GbWJMIbHRdhExU/70CrEV5Leb7jxo3DL7/8khJ1lkjuxx9/rCKyqQXvoUOH\nsHHjRkyaNCllb+PHj0ezZs3g4+MDqdhQtGjRlGcRERFYtGgRChcurATvli1b0kS2JX1i3759qn94\neLhKa5A5pGX2LP1cc+bMQbly5TIctrMJoAN2puB1QKdwSyRAAiRAAiRAAjlHIK9yeO/fv48hQ4bg\nq6++ShGj+/fvV6kNY8eOTSN4JcIr0dT58+enGCpR4ZdeegklS5bEzJkzVY6uuZa+0sPhw4exbNky\nFRWWFAcR05s3b1aCN7NnqQW4aR0K3px77zgTCbgMgfOX/8YJ4w+1SOPHWhWNhxaerP24y9hOQ0mA\nBEjAUQjkVZWGdevW4e7du2lyduPj4/H6668rERwQEJCS0iDfl9zZkSNHqnzZ8+fPq/zZUaNGqRze\n/v37o2vXruoAm8FgULnAZcokH6ZLL3jlUNrevXuVwI2Li8OUKVMg88vfM3tGwesobyj3QQJOSuD4\nn6fxyZdf4Pqd22ksCMjnh47Pv4AeL7d1Usu4bRIgARJwTgJ5UYdXDnu9//77qFChQhpI06dPxyOP\nPKLSBFKL1dOnT6tIbkxMjMqbzZ8/v6q6ICL36tWrkGirHEaTw2RNmjTB4MGDzQpeGS/pECEhIerQ\nmhxA27VrlxK8mT2j4HXOd5m7JgGHILB9/z58suSLTPfS4snGGNG7j0Psl5sgARIgAVcg4Cg3rbkC\na0e0kTm8jugV7slpCVw31kvsM+4DRMZEW7VhRK830aJxE6v92IEESIAESCDnCCQkxiH6QQTijX9K\n8/Lwhp9PIDyNf7LplwAF7z++laRuOSkpJUJMH0VIUec7d+6ociBSyNnPz0/17tChA7p166bft4KW\nZZnA3FUr8f1/f9Q0vniRovhm2qea+rITCZAACZAACZBA1glQ8BrZrV27Vp1olCLNUgA6fe7NhQsX\nMHXq1DS18rKOnCP1TODNcWNxwZhDpbUt/s9HxsNsD2ntzn4kQAIkQAIkQAJZIEDBa4R2/PhxdZWe\nJJrLdXoUvFl4kzhEEWjWq4dNJGa8PxK1qlS1aQw7kwAJkAAJkAAJ2EaAgjcVL6mdJyVBKHhte4nY\n+18CLw7ojyjjaVmtjYJXKyn2IwESIAESIIGsE6DgpeDN+tvDkRkITPlyMXb8vF8TGf98+bB5XvK1\nkWwkQAIkQAIkQAK5R4CCl4I3994uF5xZ6u8OnTpFk+U9XmqLnm3baerLTiRAAiRAAiRAAlknQMFL\nwZv1t4cjzRLQEuWtYLwtZ+aI0Qj4p/IHUZIACZAACZAACeQeAQpeCt7ce7tceObMypM9ZrxtZ+Kg\nIRS7Lvx+0HQSIAH7EUgMi8TdbfvxIOS62oRPmeIo3LIxPAoE2G9TXDnXCVDwUvDm+kvmqgvIJRTf\n/bgD50P+VgiKFw2C3LDGqgyu+kbQbhIgAXsTiP6/czjTY2yK2DXtR0TvI8smwu/RStna4vDhw9G6\ndWs0a9YsZR65Vrhs2bJ49dVXbZ7bYDCge/fuWLJkCby8vDSPf/PNNzFmzBh8/PHHkAP5NWrUSBkr\n9wvI8zVr1tg0p+bFHbQjBa+DOobbIgESIAESIAESyDkCDy5fw8lmbyIxPNLspB75A1Dzpy/gU7ZE\nlhc9deoUZsyYgcWLF8Pd3R1Xr16FiOCvvvoKPj4+WZr32LFjqF27tk1jTYL3559/RlhYGAYMGJAy\nfv369Th37pwqxepKjYLXlbxNW0mABEiABEjARQmc6TYa97b/nKn1QZ1eQIW5o7NFaNSoUXjuuefw\nzDPPqEurHjGmsb388stqzh07dqjIqtzeWqhQIRWFLV68OPr06YN3330XVapUUf3Onj2LKVOmqMhu\nq1atsHXrVvX9Ll26oF27djh48CCio6PVHQJyf0D6ZhK83t7eat5Vq1YpAS7tnXfeQdeuXVG3bt1s\n2elsgyl4nc1j3C8JkAAJkAAJkEAKgdCpXwFublaJqH4aWun339DQCyj9Xk+z/USsfvLJJxg3bpwS\ntKnTES5evIigoCAEBgaqKLDc8Cr1/0WQRkZGom/fvmrOL7/8UkWERZimFrzy3z169ECnTp2QlJSk\nxvbr1w81a9ZMsxeT4C1fvjz69++Pt99+W/W5efOm+u9vv/0WHh4emuzUSycKXr14knaQAAmQAAmQ\ngAsSOBT0lF2sbnBrj8V1RexeuHBBCdYWLVqY7XfkyBFs2LABEyZMwLVr11SKwYoVK1RfEbWTJk1C\nqVKlMgheEccFCxZU/WbNmoXKlSujZcuWFgWviFsRuiKO165di9DQUAwdOtQuzOy5KAWvPelzbRIg\nARIgARIggWwR0Bq5DZ22VNM6liK36QdnFgn+448/VIRXxKYplUDGS2rCvn371FTh4eEqrWHixInq\n7yJI5Usir5999hnmzZunvp8+wrtlyxZjQDs5oj1nzhyUK1cObdq0sSh4r1+/jsGDB2P16tVqfon+\n2poTrAmcg3ei4HVwB3F7JEACJEACJEAC2SeQVzm8stMrV65AcnmXL1+esvHDhw9j2bJlmDZtGvz9\n/XHo0CFs3rw5RfCuW7cO9+7dU4I3ICAAHTt2NCt4Tfm8WgWv9BPB+9prr2HmzJn45ptv0ojw7JN1\njhkoeJ3DT9wlCZAACZAACZBANgioKg1P90ZiRJTZWTwC/VHzf8bc2WxUaTBNbE7wyoG1vXv3KoEb\nFxenDqXFx8enCF4pFyYiWSLC0qdo0aI5JnhFTEtkWCK75g65ZQOr0wyl4HUaV3GjJEACJEACJEAC\n2SEgdXj/7D4GcaE30kzjXboYqiz/ONt1eDMTvDExMRg/fjxCQkLUoTU5eLZr164UwStjJY9XDqNJ\n7V5TS5/SkJUIr4hpifBKqkTqmrzZYelsYyl4nc1j3C8JkAAJkAAJkEC2CNz6Zluam9aCXkt76Ctb\nk3OwQxKg4HVIt3BTJEACJEACJEACJEACOUWAgjenSHIeEiABEiABEiABEiABhyRAweuQbuGmSIAE\nSIAESIAESIAEcooABW9OkeQ8JEACJEACJEACJEACDkmAgtch3cJNkQAJkAAJkAAJkAAJ5BQBCt6c\nIsl5SIAESIAESIAEHJ5APCJw03Ac9wzn1F4LuVVCsFsteCHQ4ffODWadAAVv1tlxJAmQAAmQAAmQ\ngJMQiMI1nEpcgktJW83uuLx7K9Tw6AV/lHASi7hNWwhQ8NpCi31JgARIgARIgAScjkCoYS8OJ3yM\neERmuncvBKC+5xiUdmvqdDZyw5kToODlG0ICJEACJEACJKBbApK6sCOhp032veC5VKU6sOmHAAWv\nfnxJS+xAIPRyDHZtvYnwsAS1etVHA9G8VbAddsIlSYAESIAEzBHYGN8e0Uh7lbA1Uv4ojjZe31vr\nZvb5m2++idu3b8PDwwOenp6oVq0aBg4ciCJFimRpvswGGQwGdO/eHUuWLIGXl1eOz6+nCSl49eRN\n2pKnBCaO+hPLF17OsGapMr6Y/3VtJX7ZSIAESIAE7EfgUtIWHE6clKUN1PcYjfLurW0eK4J3zJgx\nKF++PB48eICFCxciMjISo0ePtnkuLQOOHTuG2rVra+nq0n0oeF3a/TQ+qwTe6nIMu7bdsjg8ML8n\nvt5Ul6I3q4A5jgRIgARygMC+hJG4YtiXpZlKuTVBE88pNo9NLXhl8MmTJ7Fo0SLMnTtXzXXlyhV8\n+umnKgpcvHhxDB8+HMHBwUhMTMTs2bNx4sQJxMXFoWLFivjoo4/UGInitmrVSs117949PPXUU+jc\nubN6Jt/fujX5IF6XLl3Qrl07HDx4ENHR0ahevbqKLrMBFLx8C0jARgLrVl3FyIGnrI6q92QhJXrZ\nSIAESIAEco/AqcQvjWrGzewCpxOXI9F4VC0rzQPeqOrRzeLQGu69zD5LLXhjY2Px+eefIygoCF27\ndkVSUhL69euHPn36oF69eti+fTv27NmDyZMnK5G6c+dOfPjhh2re69evK0FsErUyRsSsRI2HDBmC\nvn37qshuasEr/92jRw906tRJrTVo0CC1Xs2aNbOCQFdjKHh15U4akxcEurz4K349cE/TUruPN0Hp\nsvk09WUnEiABEiAB2wmsjn/S9kE5MKKz1yMms38AACAASURBVM8WBe/du3dVDm9YWBjq1q2rUhz8\n/Pxw4cIFTJs2DQsWLFBjJar74osvYtOmTQgJCVFid9iwYRlSFETIrl69Gvnz51fj1q1bh2vXrmHA\ngAEZBO+qVatQsGBB1W/WrFmoXLkyWrZsmQMWO/cUFLzO7T/u3g4EKhf+UfOqKzbWQf3GhTX3Z0cS\nIAESIAHbCKgIr4V2OmlFNiK8XqjqnkmE16O3RcFryuGNj4/Hli1bVOR23rx5OHz4MCZOnIiiRYum\njI2IiFApD4ULF8apU6ewcuVK3LlzR0Vw69Spo/qJ4BVRLCJa2u7du3HgwAGMHTs2g+CV9dz+iXjP\nmTMH5cqVQ5s2bWyDqsPeFLw6dCpNyl0CtgjeeStq4bnWrNqQux7h7CRAAiRgnoAj5PBKakGLFi1U\nVFbSFGbOnJmSz2vJb2fPnlVRYam+EBgYqETt0qVLVa6vtG+++QYSRTYX4TXl80o/Ct5/CVPw8qcE\nCdhI4KUmB/Hn7xGaRv2wpyEPrmkixU4kQAIkkPME7F2lQcqGbdu2TUVt5UvEb//+/VU+b9OmTSHP\nQ0NDUaZMGdy8eRO+vr4qbSEmJkbl+UpUuECBAkrwSpRWxkqahOTmmlIf0ufwUvCaf48oeHP+3xdn\n1DmBpZ//jUljzli1skr1QGzc19BqP3YgARIgARLIPQJZqcPrh2J4yWtdljYlh9ZMObwiaEXMSiRW\nqi5Iu3r1qoq8Xrx4UQngJk2aYPDgwfj9998xffp0JCQkqJq6HTt2VEJXmhxWkwoMImbl0JqIX3NV\nGlKLX0Z407qPgjdLrzMHuToBLVFeRndd/S2h/SRAAo5AQA83raUXso7A1dn2QMHrbB7jfh2CgNys\nJrV4zVVrCDDW4P1kXg3m7jqEp7gJEiABEgBCDXtxOGGisUBZVKY4vOCP+p5jUdqtqUNho+DNvjso\neLPPkDO4MAGpyXt4/13IFcPS5IBa+9dLIX8BTxemQtNJgARIwPEIROEapKLDpaRtZjdX3r0lahgr\nL/ijhMNtnoI3+y6h4M0+Q85AAiRAAiRAAiTgJATiEYEbhmO4n3RO7bigeyUUc6sNL/A6eCdxYZa2\nScGbJWwcRAIkQAIkQAIkQAIk4CwEKHidxVPcJwmQAAmQAAmQAAmQQJYIUPBmCRsHkQAJkAAJkAAJ\nkAAJOAsBCl5n8RT3SQIkQAIkQAIkQAIkkCUCFLxZwsZBJEACJEACJEACJEACzkKAgtdZPMV9OgSB\nB3fDcGnjT7j7+/mU/fiXDEL5l55B/gplHGKP3AQJkAAJkIDzE5g4caK6fli+2LJPgII3+ww5g4sQ\nuHvqHM59ux2JsQ/MWlzmuUYo83wjm2ncuG/AwT+TcP1+khpbvKA7GlZxR7GCbjbPxQEkQAIkQAL2\nJSBXC9+8eRPu7u5qI76+vli9erXNm6LgtRlZpgMoeHOWJ2fTKQGJ7B6fsdyi2DWZXaN/J82R3shY\nYOH2eOw8nmiW2nO1PNCvhRcCfHUKlWaRAAmQgA4JiOAdM2YMypcvny3rKHizhS/DYArenOXJ2XRK\n4NIPu3Ft/1Gr1kl6w2NDe1jtJ2L3/aUPcPG6IdO+Dxd3w9SePhS9VomyAwmQAAloJ7AhIQ7z440/\niI3tbS9ftPX01j7YSs/MBG+XLl3Qrl07HDx4ENHR0ahevToGDhyoZjxz5gxmzJiB2NhYJZYTExPR\nvHlzldIQEhKCWbNm4dq1a/D390ffvn1Rp04dNa5Xr17o3bs35s6di1q1amHEiBE5ZoueJqLg1ZM3\naUuuETj1+WqEXwzVNH+jacPN9jtwOBprNtzHtv+GIzwiCe5e7ihQ2h+FywUioJjlMG7zxzwwvJ2X\nprXZiQRIgARcjcA8o3C1JQHstiEJa4yCN3V71Sh4i7olpyBobSKUzbXMBK9cEdyjRw906tQJSUlJ\nGDRoEPr164dq1aqp7w8bNgxPPPEEzp49q55JpLhx48aQOUXkNmjQAKGhoXjvvfeUAA4ODsbLL7+M\nunXrYujQoUoMs5knQMHLN4MENBA48vEiPLgfrqEnUP+jQfDI55Om7weTruOL5Xctji9auQBKPV7E\n4vN5/X1QwRjtZSMBEiABEkhLoEb0fZuQyOdq6X+amvuetUlP+RW0KHhT5/DWrl0b48aNU31F8K5a\ntQoFCyaPFdFauXJlPPzww/jss8+wcOHClDlFwEo0uESJEpg+fXqaZ/PmzVPfb9++vZpz8eLFKFWq\nlLUtu/RzCl6Xdj+N10ogOxFea2LXtIfMRG+XpzzRrZmn1u2yHwmQAAm4DAGJ8NrSJMK7Nl2E95Us\nRHgHZDHCu2XLFri5JUvuOXPmoFy5cggKCsLGjRsxadKkFFPGjx+PZs2awcvLC5s2bUrzTA7BhYeH\nq6ivCN7Uc9rCwpX6UvC6krdpa5YJXN13BH8Zy5FZa4WrV0SVnm1TuoVciUe9Z89ZG5byvNILpeBX\nKG10WB42fMQd417LuRwzzRtiRxIgARLQIQHJ4V2RkFxxp5unT57l8Io43bp1awpRk+CVKK9Ee+fP\nn5/ybPjw4XjppZdQrFixDNHf9BHe1HPq0F05YhIFb45g5CR6J5AY8wDHP1uWaVqDh683arzVGf4l\ng1NwaI3umgZYivI++pA7pr1Bwav394z2kQAJOD8Bazm85gRvixYtVA7vyJEjUbNmTZw/f17l8I4a\nNUrl8MrBNInmNmrUSOXwihiePXu2yuFNL6Kdn2DuWEDBmztcOasOCURdvYk/v9pgVvSK2JXLJ4Lr\n1khjeftuf+Hgr9GaafgH+aLisyUz9GdKg2aE7EgCJEACdiUggleqKaSuw7t27Vq1J0sR3jZt2uD0\n6dOYOXMmYmJiVF5v/vz5VdUFU5UGyfGVeeX7ska9evXMzmlX4x14cQpeB3YOt+Z4BCTSe+O3U5BL\nKEQASzRXvko2eQI+hQtk2PCzL1/AH2fMX1RhzjovP09Ue6lshkdTe3qjZjnbThA7Hj3uiARIgARI\ngATsQ4CC1z7cuaqLEMiJCC/TGVzkZaGZJEACJEACuUaAgjfX0HJiEgCmz7mFT+fd0owifQ6vn/H8\n2rQ3WJJMM0B2JAESIAESIAEzBCh4+VqQQC4SCAtPQt1nziIiMsnqKu6e7nikZWl4+yeXHytfzM14\n4YQ36+9aJccOJEACJEACJJA5AQpeviEkkMsEvl13H0NGX7W6SsOWwahQM7+6RrhhVQ88X8vD6hh2\nIAESIAESIAESsE6Agtc6I/YggWwTENErJcrMRXoDA9wxYXRxdGpv/taebC/OCUiABEiABEjAxQm4\njOA9fPiwuqVEynpUqFAhxe1nzpxRV/bduXNHfV9q4BUpknzFq5T9uH37Njw8PODpaTw9b7zreuDA\ngSnPXfzdofk2EpD0hm/X38f2//57RXGL5vnRqV1BFMjPCgw24mR3EiABEiABEtBMwCUEr9S/O3To\nEGJjYzFs2LAUwZuUlKQKPb/zzjuoU6cO1q9fj6NHj2LChAkpgnfMmDEoX748Hjx4oO6xjoyMxOjR\nozUDZkfXJHArLAJ7fz+LPy7/m8pQp1I5NK3xCPx9eIGEa74VtJoESIAESMBeBFxC8B4/fhzVq1fH\n+++/ryK0pgjvn3/+qa7xk9tKpIkA7tSpE5YuXQp/f38V4TUJXnl+8uRJLFq0CHPnzrWXv7iuExDY\nc+oMlu8+iOgHcRl262cUux90boNywcmfIrCRAAmQAAnkLYGw2ChsO3cIIWE31cJlCgSjZaUGKODr\nn7cb4Wp5SsAlBK+J6JAhQ9RVfSbBu2vXLhXRfe+991Kgy3MRxY888kgawSvR4c8//xxBQUHo2rVr\nnjqJizkPARG7C7btyXTDFL3O40/ulARIQF8EFv76A6btW43wB1FpDMvv448Jzd/EazWftbvBvCo4\nd1zg0oJX7rOW+6oHDx6cQlfupxZBK9f5SYT37t27Koc3LCwMdevWVRFfPz+/3PEGZ3VqAlHGiO7g\nhavMRnbTG1atTAkV6TXXHty5hQfGnPL8las4NQ9ungRIgAQcicCYnYux+LdNmW5peOPOeL/J69na\ntmgHOfMjKZSmJumQ/fr1w8qVK63OTcFrFVGWOri04N29ezfkMNuoUaNS4PXv3x8SCa5SpUqaCG98\nfDy2bNmCnTt3Yt68eVmCzUH6JqAlupuawOQeHVJSG0TkhmzagDvHjyAxJjqlm3/psijR/AUEN2yi\nb3i0jgRIgARykcDPl/8P7VaO0bTC+i4f48myj2rqa66TCN6oqCgVIKtRo4bqYovgbd26tdIbbDlL\nwKUF77lz5zBjxgyVxystMTERHTp0wIoVKxAYGJghh1dyfFu0aIF169YhICAgZz3B2ZyewLLdB7D9\nyCnNdnRr1hCt6jyKu0aRe27p4jRCN/0khWs9jko9+sKDny5o5suOJEACJGAi0P27j7H93GFNQFpU\nqo/lHbWJY0uC9/XXX8eqVauwYMECVeUpveDdsWMH1qxZow7EFypUSInj4sWLq+natm2Lzp07qwCb\npFO2adNG/V1aSEgIZs2ahWvXrqmzRn379lWH7q0902S4zju5tOAVAdu7d28MGDAgpUrDgQMHMG3a\nNOX21IfWDAYDtm3bpj6O0PKRhM7fG5pnhsD09Ttw5Pzfmtl0aPQEWpYtilOfTk4jdn2878PdPUHN\nExNbNGU+Eb1V3hqieX52JAESIAFXIDB13yq4ubllauq0fd/YhOK9Jq9Z7f9eY/N9RDtICVQpeVq1\nalW89tprGQTvxYsX1ZkgCa4tXrxYCVs5QyRNUho6duyIXr16qUixpEbIp8+PPfaY0iUichs0aIDQ\n0FB1BkkEcNGiRS0+Cw4OtmqLK3RwacErDpaXburUqbh58ybKli2r6vCafstKncMrgrdMmTJKHFes\nWNEV3g3aaCOB734+gu8PHNE8aljb5+G1ejGiQ0OMAjcOBQteNP7wC4GnV0yaOSLCyxhzySsjIcEf\nFXv0QXAjpjdohsyOJEACuicQPPklu9h4c9RGs+uKdhBdkZCQgLfffhtz5sxRwtZSDu+RI0ewYcOG\nlJKoInjlk2bTnQDyqbJEdJ9//nkloqVEqqlJimWJEiXw6KOPWnzWvn17u/BxtEVdSvA6GnzuR18E\n/rp5B6OWfa/JqHze3pjy7OM4P2e6ErslSx2Aj8+/F1KknyQp0cv4S9ljuIuyaDR5jrEvy+doAs1O\nJEACuicgEV5rbfr+1da6pHkuh9esNUuH20yCt3Dhwvjuu+8ggnbs2LEqMmv6hFgOze/bt08tER4e\nrtIaJk6cqP4ugnfjxo0qFUKanDeST5+fffZZbNq0SV2iZWqrVxsrThjHi+C19EzWZQMoePkWkEAO\nEdh69hBmb/gJhdys19j1KxqP/xQtgStb11gVu6btiei9eqUhLjxTB6+2+zCHds1pSIAESED/BPI6\nh1civCJ4JXVSorwSZV22bJkSvHJYXv5b0iclD1cuxtq8eXMawbt8+XKVpiBNRPONGzfQvHlzlSph\nLsIrdw1YesYIb/L7TcGr/3/ntDCPCMgP1J3njuJxjwbI71bA4qpXk0Jwxes8fqr0CiIPTDH+UDyr\neYex0UWw1a8umr7YH9WrPq15HDuSAAmQgCsTyOsqDSbBK8zPnDmDcePGqYjt119/DTmwtnfvXiVw\n4+LiMGXKFEglqNQRXjm41qdPH5XDK5WjJJ1Scnglr1cito0aNVI5vFJKVS7PEnFs6RlzeCl4Xfnf\nPm3PBQLNvhyM32/+BQ944WH3Sijr/nCaVeIN8QgxXMKlpGSBu638yyj51wi4eyQfUNPadng2hM9D\nDdCp/TitQ9iPBEiABFyeQF7W4U0teAW85PFKJFcivDExMRg/fryquCC5vXLDq1yEZRK8ckDt6aef\nVqXJJEKcvkqDRHIlpzd//vzqoFq9evWUb2U+S89c3vlGAIzw8i0gARsInAs5jj1H1uH/zv+sRuUz\n5tI+WrExWjbqjuZfj0Fo+K00sxV0K6z+nmBIQCTS5uhurfgkyvw12YbVk7ue9KyAk16V8O5A23LS\nbF6IA0iABEhAZwS+ObkLY/+7GBEP/q13LiYG+vhhYvM+DnHTms6QO4w5FLwO4wpuxNEJHD61A6u2\nTzW7TRG+NwpXw5bLf2g243LHQQjb8Irm/qaOuSV4f9i2Af/3x4k0+2na6Gk0bfiUzXvkABIgARJw\nVAJhsVGQMxchYTfUFssUKIZWlRuggC8PAzuqz3JiXxS8OUGRc+iegER25377bqZ2enr6YHWMB+KR\neT1ImUQKm39RvynurTZ/vXBmC+Wk4L0fdh9zv5iF2YtnIiz8vtllC+QviE8/molur/bQvZ9pIAmQ\nAAmQgD4JUPDq06+0KocJzF49FBdCT1qd9Wq+4tgTHpFpP/no7Kfes1DG1wc3Z5ezOmf6Dnu8ayGs\nYA306THX5rGpB/wV8hde6dUOJ38/rmmemtVrYed3P6FggYKa+rMTCZAACZAACTgKAQpeR/EE9+HQ\nBN6Z/qym/ZUuURVbY93V4TVzLdAnH2a0HIA2VRobbwZyR9jWtxD7u/YbgCLdfLHB92k0rNcBjerZ\nng5h2pNEdivXL28xqmvJ2IdKl8MvO49R9Gp6G9iJBEiABEjAUQhQ8DqKJ7gPhyVwN+w6xi/uoml/\nFUrXRI+2E7Hw1x+w2ng4wnSILcDbF8+Ur4n+dVqgVGARJXYDfAsg34Mw3FnaBIY4y5dOpF5Yors3\n8pVHX2N0NzuXT9RpXitDvq4mA42dmjZ8Gju//0lrd/YjARIgARIgAbsToOC1uwu4AWcgoDXCK4J3\ncOcZyqS4hFjcjbyhRK+IXHPN29MXAdePGCO9b1sVvRc8SuJIQH1Vjiy4aLksY1v+7VL0GfpGlsfL\nwDVfrsfLLdtmaw4OJgESIAESIIG8IkDBm1ekuY5TE/hiwwfGUmQHrNrQrtnbePqJDjAYknAjLET9\naa0F+BZEvogQhO0agYTQgxm6SxrDEa8qMJRphmZNe2RL7MrkleqWw+Urf1vbVqbPJZ/3V2NqAxsJ\nkAAJkAAJOAMBCl5n8BL3aHcCWqo0lAx6GCN6LFZ7jYi5h8hY81UPzBlTvOBDKs0h4eZJ3Dmx0ng3\n+i1ERd9HuGdheFZ4AWXKV0eI/x+49OAYriWcR2xSJEp4VUQJz4po6N8RhTxKaGJ04tRx1Hu+tqa+\n1jrdOH2PubzWIPE5CZCAwxG4fvs2fj52FJHRybV4A/z88GTtx1H8n6t8HW7D3FCOEKDgzRGMnETP\nBKL2/o3I/X/j6vajOO19GtfL3cPfVe6kMblQ/mLo0/YjlAquqL5/K/wKEhLjNGMp6B+EfN4BZvtf\nijuG78Om4H7idYvzPRPwBp4J6Gl1Pam1+2rvdlb7aenwo7Fiw1PGOr1sJEACJOAsBJZuWI9lGzdk\n2G5APj90fP4F9HiZqVrO4ktb90nBaysx9ncZAon3Y3F1xI+4tzLtZQwC4H7JWGzq9ivKVKqOSmVr\nqTSGfD7/CtZr9y7ZxEnSGhISoxHzIBwli1RNGXs0ZhvWGcWullY7Xwt0KDAq064Tpv8HEz8br2U6\nq30Wz/gK3TtZF9lWJ2IHEiABEsgDAlO+XIwdP+/PdKUWTzbGiN59sr2bw4cPY9WqVfjrL+N18x4e\nqFSpEj788EP4+zvn5Ra//fYbatSoAV9f32yzsdcEFLz2Is91HZ5ASN8fcG+V5dq7vo8WQ+WDfc3a\noVXwhkffwJ6TC3Hxatrc3WoPPYvHqrbGJs95iDVEambVvsBIPJ6vpcX+OSl413y7Gi836aR5b+xI\nAiRAAvYisP/oEXwwd7am5We8PxK1qvwbeNA0KFWn3bt3Y+HChRg6dCgef/xxJCUl4fTp06hdO2fS\nyWzdT3b7GwwGDB48GBMnTkSBAgWyO53dxlPw2g09F9ZCIOqGMZf15m0EP5r1Hz5a1knfR9IYLrRa\nbnVoySnPo+jA+hn63TNWZ4iNT3tXe/pOf/z9I3YeSa7oYKm5VwuEe3k/q/swdfB1C8DYYlss9t9z\n4H94vmMzzfNl1nHm1+PxTKPnUNG3DjzglSNzchISIAESyA0CQz6ZhBNnzmia+rFHHsHMEaM19U3f\nScTha6+9hmHDhqFevXpm5wgJCcGsWbNw7do1FfHt27cv6tSpo/r26tULvXv3xty5c1GrVi0lmjt0\n6IBNmzalzDV58mQ8+eST6mv27Nk4ceIE4uLiULFiRXz00Ueqn2mNy5cvw9vbG5988glKlSqFHTt2\nYM2aNXjw4AEKFSqEMWPGoHjx4mpMly5d0K5dOxw8eBDRxvzm6tWrY+DAgUq8r1+/Hg899BACAwMx\nffr0LLGx9yAKXnt7gOubJSBC9+Bni3Dj5OmU50/064oqbVvkCbGr7+/A7fm/WF3Lv/FDqLC9e4Z+\nMXGRuB91y+L4C1cPYPOhCVbnlw7ujxlFb2ntovf1QhNRzaeJ2bnlwoliVQtpWjezTv6Bfth6dIXq\nkt+jKKr5Ns32nJyABEiABLJCQPJy3dwyv9J96Q/rbZq658vWzzqYy/f9+++/8c4772DDhox5wrIB\nifa++eabSuQ2aNAAoaGheO+995QADg4Oxssvv4y6desqoStiWISsJcHr5eWFnTt3qlQJadevX1fi\nVdbo06cPunfvjqeeegoRERFqLnd3d1y8eBFBQUFKuC5evBixsbEYNGiQGt+qVSv06NEDnTp1UnPI\n9/v164eaNWuic+fOSvgywmvTa8TOJGCdwJa3R+P+pcsZOj7R1yh62+W+6L3QYjmijAfVrDXfGsa0\nhkPm0xruRFxTtXjTt9j4SHyzayAknUFT83KDR7OicPNy19S9mfHw2rPGQ2yWWsc32mLTjh80zWWp\n0wvtnsboqck/JKUV96qAct6PZWtODiYBEiCBrBBo1qtHVoZle8xPS5ZlmOPkyZMq6vrFF1+Ynf/c\nuXMqQiri0dTmzZuHEiVKoH379kp0ihCVaKy0zARvmTJllNiVaHLqdInz589j6tSpWLRoUaY2Hjly\nRAnzCROSgy+ytuQdFyyYfH28iPDKlSujZcuWFLzZfls4AQmYISBR3f+O+Ngsm0IPl0WreZNynZu1\n/F3TBixFeOW51OCViyfSi14tqQzpDXSvGgD3h7UddrAmeHOiNNnqnz5HidLBabZZ268FfNy0R6Jz\n3YlcgARIwCUISITXWjNXmSGzMT1esl6toWfbjFHgCxcuqIjtunXrzE4v6QKSnjBp0r//P7Z69Wpj\nKcpwFfUV0blly5aUiHVmgrdp06Y4deoUVq5ciTt37qSkRsiBuR9++CHNGqbNbN26Ffv27VN/lTUl\nrUFyc02CN/Xac+bMQbly5dCmTRsKXmsvGJ+TQFYInPz6e/zfSss/wLps+zor09o05t7XJxDSf6PV\nMcVGNUWxMU9l2k/SGyJjw1LKlO01HlI7dt78x10WJyrsBc+Gha3uRzpYE7zS590Ph2DuF7M0zZe+\n04Axb+DVni9mGMsob5ZwchAJkEAeEHhz3FhcMObOamnZyeFNSEjAK6+8gvHjx6tUgPTtjDGP+LPP\nPss0wiui1NRkvrZt22Lz5s0p3xs5cqQSxiJ4Te3s2bMqH3fJkiUqN/jTTz9Ns4b0EyG8bNkyTJs2\nTaU4HDp0SM2bWvCmXju14JW85AULFjClQcsLxD4koJVAZhHeguXLovX83I/wyl7PNliE2FOW0w7c\n8/ug6h+D4VHQtjItC7d0w6Xrv2rFkdzPBsGbWQ5v6kV7v9MTX6/N+JFcZhtLn8qQuq9EdyXKy0YC\nJEACjkbg+J+nMXSqthKP2a3SsHbtWpUq8O677+LRRx9VubNXrlxB2bJlVW6sHEyTaG6jRo1UDu/w\n4cNVGoTk8IqQTS06haMcJpOIsBwakzxdOdQ2YsQIVKlSRZUJy58/P2JiYlTerqRHiJiVNST/Vg62\nRUVFqT3s3btXfYnAlcjxlClTEB8fr0nwylyS0yulyZy18dCas3pO5/u2dw6v4JU6vJLLa070itit\naDys5lsz+XSrLW3ToUn4+XfrFSDSzKlR8Pq4+eO94DWQag1a2uhp7+LTGZ9Z7SqH1AaN6YWWHTKv\n8NDAv73VudiBBEiABOxBQEsd3heMdXhH5kAdXklbkMoGIlB9fHxUebIPPvhAmS0VFCTKK5FYEaty\niM1U0cGc4JXI7FdffaUOmkkKghxWq1+/PooUKaLygSUKLN/r2LGjEszS5HCaiGgR2iKKpbKD9JfI\ns6wvc8nhtF27dmkSvJIGMX/+fDXOWm6wPXyrZU0KXi2U2CfPCUiVhgOfLsTN//szZe1Hu7RDza4d\n8nQvInolvSFs8xnEnLyOfEaBG9DkIRQdUN/myK5p40fOrcPavbaVvNGaw6slnSE1wNC40/j10h58\nt3Qz9u38BTeupq0sUaxkEJo8Vw89B3VCYAHrOcTVfJsYqzYE5amPuBgJkAAJaCUg+b7f7dyBKGNE\nNHXzz5cPHZ97AebycrXOzX6OTYCC17H94/K7E+EbeeM2itXM2zq8uQk+Ji4cn6x+xlinV/uFEh7P\nGKs05PPIdFu1871gvGnNNiEtgjc0/t/SbxFhUTj/Z/ItcRWrlNckclNvioI3N98czk0CJJATBK7f\nvg1JcZA/pRUvWlRdNCF/sumXAAWvfn1LyxyYgC1R3po12+BC2d/xwBCVxqI4t3y45VkO9z1Lwt2n\nDpp5PYpAeOJZj8IoDR9N1t9NvIqzsYc09dXSiSkNWiixDwmQAAmQQF4ToODNa+JcjwT+IbDz6Bzs\nOjYvUx6PV2qLV5tOUdcLH43ehj8e7MNfcSdw1qcRTvs9jzg388K2nXswRnuWR37jHWiZtQeGaByL\n3p4jPvE2Hlp7nIfWcoQlJyEBEiABEshZAhS8OcuTs5GATQQuXjuMnUfnZqjaUKLwI2j++CBUf6h5\nhvlGJJzDhiTLt7iZBpQyRnnneVVBhDij1QAAIABJREFUVeNBtszayZhdiE4Ks2nf5jqzLFm2EXIC\nEiABEiCBXCJAwZtLYDktCdhC4F7kFdyLCFVDCgWWRqGA5Ft2TC3R+Dzy968xtYAXvnu4geapqxjF\n7gqvGplGem8l/I0LD45ontNcRw9jKkVNv+a8eCJbFDmYBEiABEggtwhQ8OYWWc5LAjlEIOr3FQj7\nZSrOFyqNPq2Sy9rY0gZ6lMEg41dm7Y+YvQhPSj7AkZVW2qsqSnvr52BhVhhwDAmQgHMQSEQ8whNv\nIyrpvtqwv3tBY3WZosYEMC/nMIC7zBIBCt4sYeMgEsgbAmGHpyDqj5VqsckNe+DHhxvZvHCg8cf4\nb971Mx0n/wdwInoX4ow5vba2Qh4l8IhvQ1uHsT8JkAAJ5CkBObMglWnkUy1zLcjzIfWLO69Iz1O3\n5NliFLx5hpoLkYBtBOKMt7Hd3tYrZdCLr8xAlLefbZP803u5Ma2hvlv+TMfK/xmciT1oUz5vkGdZ\nVDBWiGAjARIgAUcmIBVpLsQegfxyn1mTKG8F3ydQ2KOkI5vDvWWBAAVvFqBxCAnkBYGbGzog4d7Z\nlKWadVmY5WVHeZRDTw0/wOX/DK7Fnce1+HPG/2NIsLieVGQoY4yESESEjQQcncBNwzFD+j1GGa7B\n361Emm/7uxWHP0q4Obo93J9tBORQrhzOtaXVzPcs/NwL2DKEfR2cAAWvgzuI23NNAnJI7cbaFinG\nRxgjuy8ZI7xZbVryeFPPLcL3bsJVY57bLTxI+jfNwc+jgLpJjdGPrHqC43KLgIhaEbFRuI57SWfU\nn/cN57MkXr3gbyjkVgkF3SrD2y0QwW61jeKYYji3fJfb8x41ll60NV1L0hpqZ7HMolwVPGbMGJQv\nX16Z9uOPP2Lbtm2YOnWqugI4u81gMKB79+5YsmRJjsyX3f04y3iHELynT5/GuXPnEB2dMX+wc+fO\nzsKS+ySBHCOQPp1BJs5OhFdLSkOObZ4TkUAeELhnOGe4ZTiGG0lHcMWwP0vC1tZt+qOYoZT7Uyjm\n/rhRBNcyfvgdmCfr2rpP9v+XQHaq0FTweSJLn2KlFrzHjh3D559/jk8//RSBgYE55hqZt3bt2jk2\nnytMZHfBu3r1ashXtWrV4OOTsYj+uHHjXMEPtJEE0hCIODYfEcc/T/O9sU+9hZ9L18oSqV+Nh9as\nXUKRpYk5iATykMAVwz5DaNJehCbtMX4GEWV3sVnQraLhYffWKOXehKkQefge2LKUnEu4l3jNliEp\nfbN6INckeGWijz76CJMnT0bx4sXVvDt27MCaNWvw4MEDFCpUSEWCTc+6dOmCl156Cb/88gvu3LmD\n5557DvHxxgPFJ04gKioKLVq0QPv27dU8rVq1wtatW9V/y7h27drh4EHjGQxj4LB69eoYOHCgehYS\nEoJZs2bh2jVjCo+/P/r27Ys6dVzz3IXdBW/Xrl0xffr0FIdn6a3kIBLQGQFzEd7tDzfEJw172mxp\nW/cgfOJZyeZxHEACjkBAIrmXkrbiUtIWhxC5lpgYI76G8kbxW9oofhn5zds3RyovwMKvP1fjziDJ\n+L+sNHdjhZuS3pUtDpVyjOaaCN633noLc+fOxahRo1C58r9zXLx4EUFBQSrau3jxYsTGxmLQoEEp\nIrZ///5K9IrgFSErX926dVNCVtIYli1bpoRrasEr/92jRw906tQJSUlJar5+/fqhRo0akL2IyG3Q\noAFCQ0Px3nvvKQEcHBycFSROPcbuglccuWLFCqeGyM2TQE4TSJ/Da5p/SPN3caKY5R/A6fcRYPyB\n/YN3LZQ23rrGRgLORMAocg2nEr8w5uLesHsk11Zu5d1bGWp49GLU11ZwWex/KGpdFkdmb1gD/+Ro\na/omIjMuLk6J1AkTJqBqVfPC+MiRI9iwYYPqI02Eq3zinT9/ckWd119/HZ988gnKlEmuoz5gwAAM\nHz5c5QanF7yrVq1CwYIFVT8RtCKyK1asqAKKCxf+e+B53rx5KFGiREqkOHsEnGu03QWvOG/IkCEo\nXbq0c5Hjbkkglwnc3vYG4q7/lmYVObw2tPkwXCiU+UUSpkHzPKuguXvhXN4ppyeBnCPgzEI3PQUK\n35x7LzKbSUV4LbSr8dmJ8LqjpNcjFue2dNmOCN4+ffogISEBixYtwoIFC5AvXz41j6Qh7Nu3T/13\neHi4SmuYOHGi+ruI2C1btsDNLfl3PInuzpkzB4ULJ/8Ml8it6KUKFSpkELypx8mYcuXKoWjRoti0\naRMmTZqUYoMIallXor6u1uwueOX0opw0lNyUkiVLZjhx2KxZM1fzCe0lAUUg/u6fuPXDKxloiOj9\noOlbmUZ6SxojuvO9qqCq8WphNhJwBgKnkpYYLiVudsqIrjW+pdwaGyO+b8JY+cHpotXWbHP05/bM\n4ZVI7IwZMyBVFYYNG4bDhw+rlIRp06aptIRDhw5h8+bNaQSvKS/XVsGbepxJ8EqU97PPPmOE95+X\n1O6C9+23387038v8+fMd/d8T90cCuUYg+twG3N9v/jrhY8UewfaHG+CGf1ElfivHxaOMbzEV0W3v\n7nr5WbnmBE6cqwRuGo4aDidM1KXQTQ+usvurhkeNqQ7M8c3VVyrN5Pau0iA5uqJzJOobERGBvXv3\nKoErKQ9TpkxRh9JSR3hzUvC2bt0avXr1UtHcRo0aqRxe+VR99uzZzOHNu1eQK5EACWglEPv3LoQd\n/gSJUeZPGrt5BaBQk4nwfehZrVOyHwnYnUAUrhmOJszMs5Jidjf4nw1Ijd/HPYbAmO7AaG8eOSUr\ndXjlcp3Hc6gO7/nz5zF27FgVbRWxKZUT5NCaHDLbtWtXrgneNm3aqLVkXanSILnBIrzr1auXR+Qd\naxm7R3gFhyR2S6mOv/76S9EpW7asSnGQkD8bCZAAYIgLR8zfuxF7eTeS4iIUEnfvQPiWfQb5HnoG\nbt6ZXxtMhiTgSAQkfeFM4mqHrrqQ27ykqkNto/BlmkNukzZqDN60lvuQnWAFuwveCxcuYOTIkeoU\nYqVKyaWT5BIKEb8S7k9dzsMJeHKLJEACJEACFgjEI8KwL2EkbhqOM7ppZJQc7X3HGO1tTR65/K/m\nbuJVXIj9LdMr02ULHvBEBd86vE0yl/1hj+ntLniHDh2Kxo0bo0OHDmns//7777F//36V8M1GAiRA\nAiTg3AQkV1fEriNcGOFoJKWaw+Meg5nbm8uOeWCIRmjcH7iVcNnsSkGeZVHa23gJljGdgU1/BOwu\neKUMx9q1azOkL0RGRuLVV19NuUlEf+hpEQmQAAm4BgFJYTiV+CWjmJm4W25tq+8xlikOefBPItH4\na1dY4i1EJ4ap1fw8CqCAR5AxuuuVB6tzCXsRsLvg7dixo4rimgorm0BcvnxZ3Qjy7bff2osN1yUB\nEiABEsgGAUlhOGSswHDFsJ9iVwNHSXGo7zkWpd2akpcGXuxCArYQsLvg/fzzz3H69GlVtkOKKUuT\nE41yJZ/c9/zGG2/YYg/7kgAJkAAJOAABEbu7EgbivuE8xZuN/qjvMVquKSY3G7mxOwlkRsDugldq\n0H311Vfqej35b2m+vr6QchpSPsPd3Z0eJAFdEYhLisbd2NAUm4r7ab8qWFcgaIxuCVDsZt+1FL3Z\nZ8gZSCA1AbsLXtNmROxev35dXcUnN675+PjQUySgKwIidH+5vgbnww5msKta4WdRK+hFeLvzsISu\nnO6CxtwznDPsThjAw2k54Hs5zFbfYwwjvTnAklOQgMMIXrqCBPRM4G5sCHaHfo7I+DsWzSzsUxot\nyr1L0avnF0HntsllEtvje1Ds5qCfK7u/IhdVUPTmIFPTVKf/L7mmedVHA3Nhdk7paATsJngPHDiA\ncuXK4cyZM5kyadasWabP5W7qSZMmqZtETDnAMkDmnT59Ou7cuaO+L7V+ixQpoubK7JmkUUiUeenS\npWnWlcsxpGpEgwYN1I0pbCRgC4EfLk7AvQf/pjFYGiui96WHzV8lbMt67EsCeU2AaQy5R5zpDTnH\nNjwsAZNG/4mdW24iIjxBTRyY3xPPtQ7G6ElVkL+AZ84txpkcioDdBO/777+PZ599Fj/88EOmQObP\nn2/xuZQzO3ToEOSu6mHDhqUI3qSkJPTo0QPvvPOOOvi2fv16HD16FBMmTEBmz2QhEbyenp4YPHgw\nqlWrlrL29u3bsXHjRpVuQcHrUO+ww2/mj7u78MuNNZr32bhkD1Qs0Ehzf3YkAXsToNjNfQ9Q9Gaf\ncejlGHRr8yuuhMSanaxUGV+s2FQXpcvmy/Ziv//+O1atWqUO5UsQLSgoSF0l/Pzzz2d77pyawGAw\noHv37liyZAm8vPRfks1ugjcnHHb8+HFUr14dIp4HDhyYInj//PNPiFCWO6uliciVF02itnKvtKVn\ncpWxCF6JKt++fVsJZlMTQS33T5vuxM6J/XMO1yCw7e/puBF9TrOxZQIew7Nl3tbcnx1JwN4EjDm7\nBt6elvteeMZzjiHY7XGmN2QR9UtNDuLP35PTGCy1qjUC8cPehllcIXnYr7/+iqlTp6J///7qU+F8\n+fIhNDT5E76yZctma+6cHnzs2DHUrl07p6d1yPnsLngXLlyIfv36ZYAjUdsvv/wSAwYMsApuyJAh\nGDRoUIrg3bVrl4roSh1fU5PnIorlpbP07JFHHlGC98MPP1Rjv/76a/VbjxymmzhxohLNe/bsYYTX\nqkfYITWBpaczvt+ZEWJaA98fZyJwNHGm4WzSWoqwPHCa1Olt4bUM/ihB3jbylhSGAd2Oaxo1b0Ut\nleKQlWaKmr711lto1MjyJ3VXrlzBp59+qoJrxYsXx/DhwxEcnLymBOZmzZqFa9euqUu5+vbtqz6t\nltalSxe0a9cOBw8ehKRaStBPtE1m4xITE1UA8MSJE4iLi0PFihXx0UcfqTFy+dfWrVuRWZ+scHDE\nMXYXvO3bt8e6desysBGntG3bVtNNa+kFrzhPIrGSlmBq8jJ17doVV69etfisVq1aSvDKb2Zz5szB\nM888gyZNmmDFihUIDAxE4cKFsXfvXgpeR3yTHXhPtgpef6/CeKXiZAe2iFsjgWQCoYa9hv0Joyi+\n8vCFkBvZWnguI/NUzGdPuQA3K0T2/Pc2Th5JvlnNWqv3ZGHUb1zIWjcMGpF8d0DqJmJVtIekUlpq\n8qmzBPr69OmjPjmWlEkJpk2ePFl9Ii06RESuRIclSCcBOBHAIohFoErKpgTgpK8E82SuGjVqWBx3\n4cIF7Ny5UwXzpEkQT0S2NJPgFQFtqY9VEE7SwW6CV+ruSpMobu/evdPgEidKFDYsLEwJT2stveDd\nvXs35DDbqFGjUobKRwvSTwSvpWdVqlRJEbySFiEvofwWJPuT2+AkhYKC15o3+Dw9Aa0H1kzjivlV\nQsuHhhMkCTg0AVZksJ97WLkhLfvKhX+06gxjuqpVUWyaRGvfs3cz5uOePHkS8+bNg3x6LU0+re7c\nuTMk8lu0aFGleUSATps2DQsWLFB9JLr64osvYtOmTbh06ZI6cG8aL89lvhIlSkAChCJQJTe4YMGC\naqwI4cqVK6uoraVxkrIgYldSM9OnL5gEr6xrqY9VuE7SwW6CV36TEOG5f//+DA6Qyybktw+pilCs\nWDGrKNML3nPnzimBajrwJi9Thw4dVKRWfrOx9EyiuKYIb/78+fH666+r39Rkr+PHj1dil4LXqjtS\nOpw6eRwH9u9BjZq10KjxU9oH6qzn8VubcPz2Zs1W1Sv2KqQuLxsJODKB7Qk9DLxFzX4eauw52cAr\niJP5S4TXWtu7S3uEt24jbRHewSMzRngvXryozhV99913abYkKQwShFu+fLnSPpImKQLY1CIiIrBo\n0SJVRUqEr1SfMrXVq1cjPDxcRX1FoG7ZssUo3pND2hIUlIpXMldm406dOoWVK1eqylWpUyRMglfm\nstTHGltneW43wWsCJOJz6NCh2eKVXvBKhFiispL/a6rSIGXQ5DeqzJ7JJkyCV9IX5EX66aef1G9F\njRs3puC1wUuD+vXEmlXLUkY0avI01m/9yYYZ9NNVLpxYe2404pNikO+OP3zv+SHwSkFElLqPyJL3\nEe+XfMOgNKYz6MfveraEebv29y7zeW3zQV7l8EqATYJ148aNQ82aNVM2mVrwSsrlzJkzMXfu3AxG\niOCVMquZRXglbdPUTIJXoryZjTP1P3v2LMaMGaMqM0iQL7XgtdTHNtKO29vugjcn0KQXvDKn/JYl\nubg3b95UpyKlDq8pZyWzZ6kFr5QTkRfj22+/VYfXGOHV5q2tmzbgjdfbZej80ZQZ6DdgiLZJdNbr\n+qU/cH3eMQSdLJHBsstPncXFFqeAAE9jKsO7KOxbRmfW0xw9EbhpOGq8SW0Qc0gdwKnBbrUMz3jO\noy80+kJLlYYq1QOxcV/2qjRICVPRDZJfK2eDvL29VXmyTz75REV4JfAmaZZyrqhp06Yq3UFydcuU\nKaOe9erVS0Vh5dCbfF/OIMmhM1MOrznB27p1a4vjBI+vry/kk+uYmBiVOyxpEgUKFEgRvKKVLPXR\niNfhu9ld8Ep+iylvRQ6qpW+seevw71CGDU6b9B9Mnzw+w/cbGtMaNmz7n/MZlM0dx1+IxK3hR2GI\nSi5ybq7FlIlG4U9qoHDRctlcjcNJIHcJMJUhd/naOjtTG7QTkzq8XV/8FVdDzdfhLVnaF19vzpk6\nvP/9739VWsPly5eV4BWxKQJWhK40OU8k0VkJwInIlQPypoP2cvBNorVSpUHGSSBODrdJSx+RNUV4\n27Rpo6o7mBsnNYElv1fqAUvwrmPHjmqe1PNl1kc7YcfuaXfB+/HHHyvHy4sgvxVJ4rb8RiN17Eyp\nBI6NkLtLT8CS4H319R6Ys3CpSwEzRCbgWrcDmYpdExCfmgVRdPrjLsWHxjoXgTNJ3xqOJc5mRNGB\n3OaPYqpUmRcC6RcNfpGb1j4eZbxpbetNRP5z01qA3LTWKhhjJvOmNQ0InbaL3QWvlB6TCyHkxKGU\n1jDlrUgt3V9++SVNpQWnpexiGw+7fx9PVC9nvLYxbQmYXT8fUwfYXKlFrgtB2ALtl04UnVYbPo9Z\nL4fjSgxpq2MQkNvUNsZ3QDyiKKwcwyUpu6jh3stQw6M3/WKjXyTiKy0nblazcWl2twMBhxC8cgJR\nckck1C+VFaRKw4MHD1TYXdId2JyPwOW//8IHI4bg533/UyL3vdH/wZPGg2uu1m72/wXxFyM1mx3Q\nrgwKvFVJc392JIG8InA4caLhUtI2iqq8Am7jOm28vjPwQgobobG7SxGwu+CV8h1yolGqKUiZDklt\nkAsfpA6u5O+mL+3hUt6hsU5P4Mrzu22ywduY1hDEtAabmLFz7hOQmrub4jtS7OY+6iyvUN69paG+\nx1j6KMsEOVDvBOwueKVERkBAAEqWLKnqz4kAlr/fvXsX3bt3x2uvvaZ3H9A+HROg4NWxc13INEZ3\nncPZjPI6h5+4S/sQsLvgTW+23CstIlgunKhQIWNRZ/tg4qokkDUCTGnIGjeOchwCjO46ji+s7YRR\nXmuE+NyVCTic4HVlZ9B2/RGw9dBa8Of14FUhQH8gaJHTEmB017lc18Fru4EVG5zLZ9xt3hCwi+CV\n28u0tmbNmmntyn5WCFwxJGHwgyicSUpESTd3zPbxRxV3D3LLRQJSlkxq8Go5uObbsCiKjP/3Zp5c\n3BanJgFNBFiZQRMmh+rEig0O5Q5uxoEI2EXwvv3225oRSNUGtpwhMMgodn9K/PcaWxG9P+bLnzOT\ncxaLBNTFE+8egSE60WIfr4cD1GE1N+Nta2wk4CgEWHfXUTyhfR9Sl7eN1zoeXssE2R93d+FyxHHc\njQ1RveR2y7KBtVCt8LPaQbOn0xGwi+B1Oko62XDP2Ej8lpT2tq9TfgV1Yp1jmyGR3vufn0X0zutp\nNurm54GA9mWRv3t5xzaAu3NJArxVzTndztvXzPtNBO7u0M8RGX/HbIcAryJ4pvRbvN7dOV97q7um\n4LWKSD8d5sXH4nPjl6k18/DCHGNaA9u/BO78FYO/fg3D7b+iUbScH0pUM1YQqZ5zObUifOMuRKQs\nyEsm+PY5KgEeVnNUz1jfFw+vZWQkInfjxQmIS0q+bMJS83bPh46VJsHb3c86aAs9XnnlFXWJVuHC\nhVN6SCrnoUOHUi7T+u2331CjRg11BwFb3hCwu+DdunVrppaa7nvOGxz6X0VE76+JCajr4YluXj7I\nD37yZfL6gaWh+L+ttzK8BCWNoveF9x6Gtz/znfX/L4QWmggcTZxpOJu0lj8gnPSV4OG1tI7bFTIf\nIZEnNHlT0hsk0pvVZk3wGgwGDB48WN09UKBAgawuw3E2ErC74H333XfTbDkuLg7Xr1/HfeP1tHIB\nxahRo2w0id1JwHYCv625hiPfpU03SD2LiN42/+ENaLaT5QhnJbApvr0hCjcoeJ3UgfU9RhvKu7em\n/4z+k+jud+dH2+TJjhUnQVIcstKsCV6J/q5fvx4PPfQQAgMDMX36dOzYsQNr1qxRt8wWKlQIY8aM\nQfHixdXycieBBP9OnjyJe/fu4amnnkLnzp3VM0vjREt16NAhzW21kydPxpNPPommTZtmxSynH2N3\nwWuOYFJSEr7//nvcvHkTAwYMcHrINMCxCcRFJeKrN05a3WSbcZVyNL3B6oLsQAJ2InDPcM6wI6En\nxZKd+OfEsqXcGhuaeH7iEj48fmsT4GbZ1LAH13Ep/FebsJbPXxcFfJIFp6VWq+iLZh9ZE7wySASr\nCF9ThPfixYsICgpSAnjx4sWIjY3FoEGD1Pwidvv06YN27dopQTxkyBD07dsXtWvXhqVxFLwZXeOQ\ngte0zW7dumHFihU2vaTsTAK2EvjrlzDsmH7R6rAnOhZHnVdLWO3HDiTg7ARYncHZPQh4wd/QwetH\nlxC8S0/3s4vDelZdmGOCN/VER44cwYYNGzBhwoQUwbt69Wrkz59cVWndunW4du1ahoBg6nEUvE4k\neCXK27VrV6xatcouLzIXdR0C1tIZTCQebRWERj1Luw4YWuqyBHYlvG24ZTjhEmJJz05+wXOpoZBb\nJd37UUV4M2kqwhvxm02uLh9Yx3qEN6iN2Tk7deqEzz//PM2htd27d+PXX3/FiBEj1Jj0EV45z7Rv\n3z71LDw8XKU1SI6vNInwbtq0CR4eyedIZK4DBw5g7NixsDSOgtcBBe/Ro0cz7EpC9nKiMSoqCh9/\n/LFNLyk7k4CtBK7+HolN489ZHcYIr1VE7KATAqvjn9SJJa5tBi+hSPZ/XufwSiqmpCNUqVIl5QWU\nCK2kKfTs2VN977XXXsOCBQtUSsPhw4exbNkyTJs2Df7+/qqaw+bNm9MI3qVLlyI4OFiN/eabb3D3\n7l3UqVPH4riEhAS0bdtWzWNqI0eOVOKZObx2+rnQpUuXDCv7+fmhUqVK6N27N4oUyVrSuJ3M4bJO\nSuCrnicQF52U6e5fn1sdgcHeTmoht00C2gjcNBw17E4YpPuooDYazt0ryO0xw7Oe8+lLoxttqdJQ\nJuAxPFtG+wVZ6d8SOYMkolUEpmiYs2fPYvz48UrAli+fXHO9X79+ShRLaTI5eLZ37171XCKzU6ZM\nQXx8fBrB26ZNG/Tv3x9hYWFq3LBhw9Q5p8zGib6aNGmSOhwnxQBEU0mEmYLXuf9dc/cuQiApMRxx\nMaeVtb4B9XPMamt5vIzu5hhqTuTgBE4lfmk4lbSEIsnB/aR1e529ftbaVdf9JMr7g7EOb7yVOrxe\nxjq8r2SzDq+kZEoUdvv27YiMjETJkiXxxhtvqIisqUn6gtwkK4fUZs2apQRxSEiI+rukROzatStF\n8MphNRGvkr4gn4CL+JWUiJiYmEzHSeT4q6++UnNKioSXlxfq169PwavrN53G6YLAvWuzcP/67BRb\n3D0CEfTQVPgVeD5H7BPR+7OxFm/k7biU+bz93FHnlRJ4tHXyR0lsJKB3AvsSRhiuGPZT8OrE0a6S\nx6vFXXLT2q7Q+YiKv2u2eyGf0mhSsqfD3bQmaQjW7izQYr+r93GIKg0S7t+yZYs6dSitVKlSePHF\nF1GhQgVX9w/t/4dA2M2vcPdKcgJ/+laqyiZ456uWY6wkp/eO8aa1Isab1oqWy8cLJ3KMLCdyBgK8\nTtgZvKR9j7xmOCOrP+7uwt8Rx3A3NlQ9LOxbGg8F1ka1ws9qB5uHPSl4cwa23QWv/NayaNEidcmE\n5JkkJibizJkzKi9FclSee+65nLGUszg1gSt/tjamMvxp1oaAwu2Nkd5pmdr3Z7QBv0UYEJEI1A10\nQx3jFxsJkEBGAjywpq+3ggfXnN+fFLw540O7C17JS/noo48yRHOlSsMXX3yBlStX5oylnMWpCVw6\nZjna7xtQDyUqfWPRvk8uJ2LljbQH0h7xc8OE8h6oYvyTjQRIIJlAFK4ZNsV35D8KHb0Q5d1bGup7\njKVPdeRTmpI1AnYXvJYul4iOjlbX4m3bti1rlnGUrgiE/N4ECXFXbY7wzr+SiAVXzVdfENG7trqn\nrjjRGBLIDgFWaMgOPcccy0oNjukX7irvCdhd8M6dOxdyDV+xYsXSWP/bb79h+fLlmD3730NKeY+H\nKzoKgfQH1lLvq0SllcaKDQ0ybDXcmL7Q+Gh8pia8V9YD3Yq5O4qZ3AcJ/H975wEfdbG9/ZNCDQES\nCIZOLoJK0wgC/9AE0UsXkCJFUJBeRRAUBCnSe5OiQAS8SBEuTZAXMUEpCgJelB5AqhTFAElI23ef\n4e7eTbI12b7P+OED2Z1y5jvzM8+ePXPGpQSYocGl+B0yuC/duOYQgOzUawi4XPBevHhRXTKBdBnh\n4eEq99zly5dVXjoI4VKlSglSfOhKw4YNvQY+J2IbgT/i+kjC3/8vQ6PQkmOkULG3jHb0kzZmt+fp\nVLODtCrqL5O0oQ0sJEACIhS83rkLmJrMO9eVs7KNgMsFb//+tiV3Rt46Ft8lkJz4mzy8t0f8AwpK\nUOGXJTC36at+rRG81bWH11aAz23EAAAgAElEQVQ+zbAG391RnLkhAQpe79wPFLzeua6clW0EXC54\nbTOXtUnAegIMabCeFWuSAAhQ8HrnPqDg9c515axsI+AWghcH1BDCcOnSJWV9mTJlpEmTJupOaRYS\nyAkBYxkadP0V0EYy7Ho2lxRkRENOELOtFxHgpRNetJgGU+HlE965rtbM6u7duzJx4kTB3507d5am\nTZta08wr67hc8F64cEHdN126dGmpUKGCgnzu3DklfnGfdMWKFb0SPCflPALGRG/x3CLzKgQyLZnz\nloEjeQCBvan9Nbc1J5jCygPWyhYTGwUu0BTze57ragu0HNR9++23JTU1VVatWpWhFzj3OnToILVr\n15YxY8ZkewQc6q9SpYrkzZvXYh+fffaZ5M6dW5ARC+eh/P1995C2ywXvO++8I3Xr1lUpyAzLpk2b\n5Pvvv5c5c+ZYXFBWIAFLBHDxBGJ676dqpGQeP3lVe1iNhQRIICMBCl7v3BEUvM5dVwjewMBAGTx4\nsFSq9L9bQHft2iVbt26VEiVKZFvwajQa1e+kSZOkUKFCFieGew4aN24sUVFRFut6ewWXC17cILJh\nw4Ys4QsPHjxQn4R4f7S3b0HOjwRIwF0IUPC6y0rY1w4K3qw8Ux8kysWvvldvRLStK4EF8tkNOgQv\nMkrduXNHhgwZou8Xt8fWrFlTzp8/rwRvcnKycvZt27ZNX2fKlClSp04d9QdpWU+cOKHqPfnkk+qS\nrqVLl8rmzZvVzbTBwcEyc+ZMFRK6fv16efTokYSEhMjo0aNV1qvVq1eruqiH1K/Tp083WRcG9OjR\nQ3r27ClIF/vcc8/JyJEj7cbEHTpyueBt166d8uIipMGw/P777zJixAj58ssv3YETbSABEiABrydA\nweudS+ztgvdc9DcifrZFbFzeelCS/3qgFjxPSLCUaZU1l7ul3VCh28tGq0Dwjh07VmmYNWvWqLSr\nN2/eVF7Zjh07SkxMjEXBizZ79uxR/aCgPUQsyuuvv66Er87DGxcXJ2FhYUrYLl++XJKSkmTQoEGq\n7rhx41TcLsIoUMzVffXVV+WFF14QfPPujWeoXC54P/nkEzl16pQgPVn58o+vj8WnH3zCqFGjhrz1\nlvEcq5Y2It8nARIgARKwjcDPaXM1Z9M32KYcbBuCtV1AwNuzNOx86T0XUBVptne6ScELb+qCBQuk\nUaNGUq9ePeVthSANDQ2V2NhYi4IXTkCIXXiFIyMjM4yTWfAavnn06FHZsmWLOqhmTPCaq4tv3CGY\nS5Ys6RKejh7U5YIXF02sXLlSLRD+jYJA7JYtWwo+JflygLWjF5/9kwAJkIAhAaYl88794O2CV3l4\nbSyXtx3Se3hzhxSQsi2z4eHt/opZwXv69GlB3C5CERAqgG+zjx8/bpXgrV+/vpw8eVLWrl2rMiz0\n7t1bOQFRMgtehH7u379fvRcfH6/CGuBNNiZ4zdWF4N2xY4fWWe6dn3ldLnh1uwViFy57nGxEQHee\nPHls3L6sTgIkQAIkkBMCFLw5oee+bb1d8GaHvIrh3fRYJEa8Vs/uMbzw8BYsWFClAsMhM4QnjB8/\nXoldnYcXeqd169ayfft2/RSQtQrCE4JXV86ePaviclesWKG8xJ06dZIlS5aokIbDhw9LdHS0zJgx\nQ4UhHDp0SPVnTPBaqotxvfnclEsFL+JYDh48qFJlvPjiizxFmJ2nlm1IgARIwE4EKHjtBNLNuqHg\nde6C4NtpCF6ELyCsYd++fSo0ARmpDAUvrOrSpYtMnjxZHUKD0w+eYBwWe/rpp9W33RDNiYmJ0qtX\nL1m0aJESuX369FExukhNhgNr6BMCF4fbkM4VDkRjgtdSXQpeB+0TgMcJxH/+85/KfY5PP++++640\naNDAQSOyWxIgARIgAXMErmpiNd+nvu+d32f66NKH+T2reSlwMdfUietvKHhxRgneWRzAx0G0zIIX\nXleEdcJzi1AE1KlVq5YUKVJEZWCAFxiv4YA/BCkKwhcWL16s2sybN095jq9cuaJ+xqG4vXv3GhW8\nEM7m6lLwOmiT9O3bV7nycaMayoEDB5S7/tNPP3XQiOyWBEiABEjAHIG/NOc0u1PfpDjyom1S0q+u\npl7gNK6pF60pp5I9Ai4LaWjVqpUSt8WKFVOWp6WlqU8vCJhGwmYWEiABEiAB5xNYl1LH+YNyRIcR\nqOLfQ1MloCcFr8MIs2NPIeAywfvyyy+rG0fy5ftfsuc2bdooEQxXPgsJkAAJkIDzCWxNaaNJkFsU\nSM5H75ARawV8oInwb871dAhddupJBFwqeHHDiKE3FzeCIKY3f/78eoaIhWEhARIgARJwDgFePuEc\nzs4axdsvnXAWR47j+QRcJnhxgtGa8t57rkkobY1trEMCJEAC3kaAmRq8a0WZocG71pOzyT4Blwne\n7JvMliRAAiRAAo4iwEwNjiLr/H4L+5XXNAn8nOEMzkfPEd2QAAWvGy4KTSIBEiABVxFIkfuaTSlN\nKJJctQB2HLeif3vN8wFDuZZ2ZMquPJcABa/nrh0tJwESIAGHENiV2k1zT3OBQskhdJ3Xad3AKZpS\nfvW5js5DzpHcmAAFrxsvDk0jARIgAVcQYByvK6jbf0zG7xpnmvDNDUk8cFs0D1JVBb8CgZIvKkzy\nv1Lc/ovAHt2GAAWv2ywFDSEBEiAB9yBwS/Oz5tvUQfQMusdyZMsK3rCWFVvazSS5O/4XSbnwwCjT\nXOULSJFx1SQgPG+2mDuqkTNuQHPGGI7iY22/FLzWkmI9EiABEvAhAptSXtakSAJFr4eueWTAYM1T\n/h25fv9dP3hz/+j3o6T9kWR2RSF6w2Y8r7y+2S1Ip4rrhCMiIlQX33zzjXz99deC7FS4JtjW4gwx\n6owxbJ23vetT8NqbKPsjARIgAS8gcDhtkuZi+tcUTB66li1zbdQESXGu33/X768Zv0nCnptWrWb+\nl8MlZEQlq+oaq2QoeI8dOyaffPKJzJo1S4KDg7PVpzPEqDPGyNbk7diIgteOMNkVCZAACXgLAYY1\neO5KlvSrq6kXOI1i18C7e71trE0LWuKr+tn28uoELwacMGGCTJkyRcLDw9X4u3fvlvXr18ujR48k\nJCREeYLxXlpamsyfP19OnDghycnJ8uSTT6q2KK1atZK33npLcDlXSkqK1K9fX/r16yf9+/dXf1et\nWlXVu3Tpknz00Ufq8i5bXl+1apUYCt65c+dKnjx5VB/eVHxW8B4+fFgmT54ss2fPlvLly+vXFBs1\nNTVVsAEMS0JCgnTo0EFq164tY8aM8aY9wLmQAAmQgFECvGbYMzeGr10nHP/5RfEzI+9TbyZa7d3V\nrTi8vIHh+cxugOA3HocsZC7QERCLCxculPfff18qVqyorxIXFydhYWHK27t8+XJJSkqSQYMGycGD\nB2XPnj0yduxYVffmzZt6kQwx2rp1a+nVq5cSygMGDJChQ4fKhQsXlMjFv1GgW/y0IAoVKmTT6927\nd9cL3k2bNsnx48dl/Pjx4u/v75kPgAmrfVLwbtiwQQ4dOqQ22rBhw7IIXlx3PHjwYKlU6X9faeza\ntUu2bt0qJUqUoOD1qkeAkyEBEjBFgNkaPG9v5JL8mla5vpJcEuwzHt5rr3xrfqE0Gm0qBhtxWNGm\n5DeNTApeeGnhKJs4caI888wzRusdPXpUtmzZoupcvHhRiV1oksjIyAz1IXhXr14tRYoUUa/DA/vU\nU09JVFSUEsFr165VscHwAsMrXLBgQZteL126tDRv3lzGjRunRDMcgXnzutfBPXs8iT4pePHppXLl\nyoJriwcOHJhF8DZs2FDu3LkjQ4YM0TPGJqxZs6acP3+egtceO8/d+7j/UCQ4yN2tpH0k4FACD+WG\nZltKOxuVgkNNYucWCET4N9XUChjjU2sGD6+5Ag9v4v+zLn5X10++xpY9vAW7mfbwQoji2+Jly5bJ\nkiVLJF++x97inTt3yv79+9W/4+PjVVjDpEmT1M8nT55U4vXu3bvSu3dvqVGjhnodgnfHjh3Ke4uy\nYMECKVeunLRs2VKFMLzyyivKG4xDcRgLxdbX0VfhwoWlbNmyenu87WHzScGrW0R8DYCvEjKHNOBT\n1ogRI2TNmjXqUxO+WsCG7Nixo8TExFDwettTYDCftBXrJW3DDpEHCY9fDQ+TwB4dxL/pi148a06N\nBEwT4OE1z9odPKyWdb2QocEVMbzI0jBnzhzRaL3FcJohlDI6OlpmzJghQUFB6pvm7du3ZxGYZ8+e\nVbG9K1asUKEPmQ+UGQreAwcOKF1SvHhx1Wf79u0VAFtfxxiff/65TJ06VRo0aKDEtLcVCl4jghef\nkrChGjVqJPXq1VNfJWDThYaGSmxsLAWvtz0F/51PypvDRXPhstHZQfAGfjDAS2fOaZGAaQJ/ac5p\ndqe+6VMeQ0/dD77o3bV2rVyVpQGhkzhchrje+/fvKw0BBxpCHiAucQgNP9+6dUuFESAcITExUYUk\nLFq0SMXjmhO88CLDGwznHPpBfDCKra/rxoAdCOmEKEeogzcVCl4Tgvf06dOCuF3Ew/Ts2VN9SkMo\nBAWvN23//81FeXZXbjA7ucD3+4t/s4beCYCzIgEzBPam9tfc1pyg6HXzXdIocIGmmN/zXCcj66Ty\n8PbV5uG9ZSEP7z+0eXhn2jcPry4UErGxyMRw5coV5UTDt8Z79+5VQvXXX3+VmTNnKqEK8dquXTsl\ndFHMCV68j7Rn586dU7G3hsWW1w3H+Pbbb2Xjxo3KVpxp8pZCwWtC8OJTVufOndUnHZycxIlFiF0K\nXm/Z+hnnkdxOm37ljztmJ+f3XCXJtWC8dwLgrEjADAGmKHP/7cGb1SyvEUTv7eE/S0qciZvW7CB2\nLVth/xrz5s1ToZktWrTI0Lmtr9vfMvfqkYLXhOBF+ALCGvbt26dib+rWrUvB6157137WaA+oJTd7\n06r+cu837wW2qhNWIgEPJEAvr3svGr271q9Pwjc3JPGH25L+MFU18g8KlHx1wiT/K8Wt78RNal6/\nfl2GDx8un376qcq/qyu2vu4m03GoGRS8ZgTvqVOnVOD4l19+qb5ioIfXoXvRpZ0n13sc6G+pUPBa\nIsT3vZUAY3ndd2V50YT7ro0jLXvnnXdURilkm6pVq5Z+KFtfd6SN7tS3Twted1oI2uJaAtaENPjX\nfUECp7znWkM5Ogm4kMDPaXM1Z9M3MEbUhWuQeWjk3W2S63PhNcJutCg0xS0JUPC65bLQKGcTSN+5\nT1KnLDY7bK75H4lfZGVnm8bxSMBtCKTIfc3XKd0kQW5R9LrJqkQGDNY85d+R6+Em60Ez3JcABa/7\nrg0tczKB1I8XSvquGKOjMkODkxeDw7ktgauaWM33qe9TYLnBChX2K69pEvg518IN1oImuD8BCl73\nXyNa6EQC8PSmff2daI7/pkZFGENAh+b07DpxDTiU+xPgATb3WCMeVHOPdaAVnkGAgtcz1olWkgAJ\nkIDbEEBow9aUtpIiCfQuumhVqvj30FQJ6En+LuLPYT2PAAWv560ZLSYBEiABlxNgbl7XLQFz7rqO\nPUf2XAIUvJ67drScBEiABFxK4GTaZ5qT6SvoZXTiKiArQ6tcX0kuCSZ3J3J3xlCZb1Rzxpi+NAYF\nry+tNudKAiRAAnYmwHheOwO10B3jdp3LOzujvf322yo/rr+/v7oMolGjRvLmm2+qn80VneDVaDTS\nrVs3WbFihboDwJqCMXEt8apVqzJUT0hIkA4dOkjt2rVlzJgx1nTltXUoeL12aTkxEiABEnA8AcTz\n7k0dIPc0F+hxdDDuWgEfaCL8m5OzgznntHuIT1xaFRERoYTvRx99JE2bNpXmzZtbJXhR6dixYxIZ\nGWm1KRgzMDBQBg8eLJUqVdK327Vrl2zdulVKlChBwav9JKGxmigrkgAJkAAJkEAmAriF7dvU/jzE\n5sCdEeHfVFMrYAzFrgMZ26trQ8GLPv/1r3/JvXv3pF+/fnLlyhWZN2+e3LhxQ4KCgqR3795So0YN\nNbRhSIPu32lpaTJ//nw5ceKEJCcny5NPPikTJkzIYirGbNiwoRLYQ4YM0b8/bNgwqVmzppw/f14v\neHfv3i3r16+XR48eSUhIiBLn4eHhYmosczaY6steLO3ZDz289qTJvryOQHr6r5KefkM0mr/Ezy9E\nAgKqq79ZSIAEMhKg6HXcjqDYNc/2xMfHtf9ftv2zwN9n/lYdF3qqULYWr9oHzxptpxO85cqVk99/\n/10mTZokPXr0UNf/4j2IXIQYXL16VUaMGKEEcLFixYwK3oMHD8qePXtk7NixaqybN28qcZq5oF/U\nQX9r1qxRoRCoi7E7duwoMTExesEbFxcnYWFhEhwcLMuXL5ekpCQZNGiQmBrLnA2m+soWUAc3ouB1\nMGB275kEIHCTkz/XCt0bWSYQEFBH+z+Tlp45MVpNAg4kANG7O/VN25WHA23y9K5L+tXV1AucRqZm\nFnJ1gWiXLPMbD7qbFLx//vmnEp0Qsq1atZKXX35Zzp07JzNnzpSlS5fq2y1atEiKFy8ubdu2NSp4\nL168qIQsPLXmQhwgeKdPny4LFixQMcP16tWT1atXK1EbGhoqsbGxRkMajh49Klu2bJGJEyeKqbGs\ntcGwL5csiIVBKXjdcVVok4sJJGq/6llmVOzqDAsMfEkbL/Wyi+3k8CTgfgQupu/Q/Jw2l+ENdlga\npB+rHziNGRkssISHNzsl/r8e3oLZ9PA+O/o5k4JXF8NrWAGe0m3btsnkyZP1L69bt07i4+OV19dY\nSAMqnjx5UtauXSt3797NEAJh2LdO8J4+fVoQt4uwh549e8qcOXPk+PHjGQTvzp07Zf/+/ao5xkZY\nAzzB5sYyZYO5vrKzJo5sQ8HrSLrs2yMJpKV9Lykp2y3anifPSIY3WKTECr5IgOENOV91hjHknKGr\nesgcw6uz48yZMzJ79mybPLyGczh79qyKt0X2BnhujQneggULSufOndXhNYRCjB8/XoldnYf38OHD\nEh0dLTNmzFAxxIcOHZLt27frBa+uT1NjGb7+22+/WdWXq9Yh87gUvO6yErTDbQgkJy/Vxu1etGhP\nrlwttDG9dS3WYwUS8EUCFL3ZX3WK3eyzc4eWpgRvenq6iuWFNzcqKkrF8A4fPlwdSjMVw3vr1i3J\nmzevQMgmJiZKr169BGEQhQpljDvWeXgRvoCwhn379qkwiLp162YQvDhkBvELjy4OwU2dOlXr4ElR\nP5saC4fbjNkAsWyqL3dYBwped1wF2uRWBJKSPtLak2TRJoY1WETECj5O4KHc0OxPHcmUZTbsg8iA\nwZqn/DsyZtcGZu5W1ZTghZ3I0gAvL7I0QMSiLrIooBgLafj1119V3C9y7CImuF27dqpe5mIoeE+d\nOqU8wV9++aVqY+jhhWiG1xd2wEuMA2179+5VgtfUWKZeN9eXu60J7KGH1x1XhTa5lAA9vC7Fz8G9\njADy9MZqRe9tzQmKODNrixvUagV+KKX86pOTlz0DnI57EKDgdY91oBVuRCA1dY/20/ReixYxhtci\nIlYgAT2BM+lfao6lzaeYM7InCvuVRyYGCZLi5MNnhgQcRICC10Fg2a0nE0jU5iWcpp2A6bAGpibz\n5PWl7a4igLje/anvSYLcorD77yJU9G+veT5gKHm4alNyXJ8hQMHrM0vNidpCQKO5rlKTGRO9/v6V\nJHfu9tr38tnSJeuSAAloCSDE4VDqJLmm+d6nRR5DGPg4kIBzCVDwOpc3R/MoAonaqxaPav/8qqx+\nfNNaZfH3r+xRs6CxJOCOBG5pftYK34k+6e2FV7dqQE/m13XHjUmbvJYABa/XLi0nRgIkQALuT+Bk\n2meak+krfMLbi1jdWgEfSohfBZ+Yr/vvPlroSwQoeH1ptTlXEiABEnBDAkhfphW+cjH9a68Ugvml\nmNaj+7ZE+Df3yvm54ZaiSSSQhQAFLzcFCZAACZCAWxDwNuFLoesW24pGkIAiQMHLjUACJEACJOBW\nBDxd+FLoutV2ojEkQMHLPUACJEACJOC+BJDR4Wp6rGhz+Lr9bW3IulDKv4FU9O/IGF333VJ6yy79\n+LfcvZyofi5SLp+UeyHjVb0eMAWaaCMBenhtBMbqJEACJEACzicAr++ZtC/lanqMW2V2KOlXVxMR\n0Jw3pDl/S2RrxLuXEmX3jDi5fzs5Q/vgsNzyzxH/UOI3pwXX/OIq4FWrVmXoKiEhQTp06CC1a9eW\nMWPG5HQYm9sfOXJEqlSpInnz5rW5rTc0oOD1hlXkHEiABEjAhwjgAgttWjO5la79o/07RRKcdhgM\nmRaK+T0vxfyflyf8IplazIP23f1bybLxvdOSnJBm1Orc+QOk3fSnJbhY7hzNCoI3MDBQBg8eLJUq\nVdL3tWvXLtm6dauUKFHC6YJXo9EoeyZNmiSFCvmmN5uCN0fbmo1JgARIgARcTUAngB9qbshfmrOC\nv+1xm1uY37Oa3BKsDVGoKIX9K1Dgunqhczj+vkWX5WzMn2Z7qdggVBoOKJujkSB4GzZsKHfu3JEh\nQ4bo+xo2bJjUrFlTzp8/rwRv//79pV+/flK1alVV59KlS/LRRx8pzzDE8bZt27QXID2Sy5cvS2ho\nqIwbN04J6GvXrsmsWbNU/+Hh4TJ8+HApVqyY6sPUe0uXLpXNmzdL2bJlJTg4WGbOnClXrlyRefPm\nyY0bNyQoKEh69+4tNWrUyNHc3bkxBa87rw5tIwESIAESyDYBXG6BxsnyQO6lnzPbTy6/Aoi9VXWC\n/IpLkBR3mtc42xNkQ0XgyPob2ouBLC/XsS03JS1FbQmTJSCXv0S2fsIqstXbhxutB8E7duxYGTFi\nhKxZs0Zy5colN2/eVN7Vjh07SkxMjBK8W7ZsUSJ36NChqh8IXcyjVatWMmjQIPn0009V+MGECROk\nUaNGUrduXUlPT5c+ffpIr169lHiGMEZ/U6ZMMfse+n/99dcFwhceXvQDOyFyEWJx9epVZS8EsE48\nWwXBgypR8HrQYtFUEiABEiABEiCBjASWdjjmEiR91keaFLzTp0+XBQsWKKFar149Wb16tfKswlMb\nGxurBO/ff/+thOvatWuVKH7rrbeUuMXreA0iFmXdunWCkIROnTrJhQsXZMaMGbJkyRL1XlpamrRo\n0UJ5g+EJNvUeQiwMBe+5c+eUlxcCWFcWLVokxYsXl7Zt27qEp6MHpeB1NGH2TwIkQAIkQAIk4DAC\n8PBaU47/+w8rPLx+8tyr1nl4a3Qoblbwnj59WnlgIWJ79uwpc+bMkePHj+sFLxojhOGVV15RoQkQ\nyRCy9+7dU6EO+DdE8ocffqhEaPXq1eXw4cPKU1y0aFH92Pfv35dly5YJRKyp9yC0DQXvwYMHlUie\nPHmyvh8I6/j4eOX19cZCweuNq8o5kQAJkAAJkAAJZCDgzBheiNeCBQtK586d1WGxPXv2yPjx45XY\n1Xl4YdyBAwdUSAI8q4ijbd++vbL5X//6l+zcuVNKlSolL7zwgt7rivjfuXPnysKFC7Osrrn3UBke\nYohohDScOXNGZs+eTQ8vnxESIAESIAESIAES8CYCj7M0nNJmaUg3Oq3c+f21WRqesUuWBgheeFUR\n1rBv3z7BgTXE4GYWvEhfBo8qQhrgnQ0LC1O2IU532rRpUrhw4Qy2Iva2b9++0rVrV6lfv74KdUD8\nbenSpVVcrqn3dH0iNhipyVC3R48eauyoqCjVBw6/zZ8/nzG83rTpORcSIAESIAESIAHfI4A8vLum\nx8mDOxnz8BYomluavGe/PLw6wXvq1CkZPXq0fPnll0rUZha8WIFPPvlEhSPA44oCMYo2J06ckNy5\ncyvPL8Ieunfvrt6/fv26EtJxcXGqLmKE4UW29N7+/ftl8eLFKkwCIRDI0oAxkaUB3mgcYsNBOG8t\nDGnw1pXlvEiABEiABEiABIwSwE1rdy4lqPeKlssv5Wq6LjctMiOUL19eHT5DgRiFKEV4Aw6bIaYX\ngnbq1Kkqhy9L9ghQ8GaPG1uRAAmQAAmQAAmQQI4IwFuLUAKkIMufP7/qCynNmjRpokINUJDSDCER\nhnVyNKiPNqbg9dGF57RJgARIgARIgARcR+Cdd95Rl0cMHDhQatWqpTfk4sWLKpY2OTlZ5eXNkyeP\nitmNjDSeBs11M/CskSl4PWu9aC0JkAAJkAAJkAAJkICNBCh4bQTG6iRAAiRAAiRAAiRAAp5FgILX\ns9aL1pIACZAACZAACZAACdhIgILXRmCsTgIkQAIkQAIkQAIk4FkEKHg9a71oLQmQAAmQAAmQAAmQ\ngI0EKHhtBMbqJEACJEACJEACJEACnkWAgtez1kuu7j4iv0xfr6yu9l4HKfXPGh42A5pLAiRAAiRA\nAiRgSKBZs2ayc+dOQnEgAQpeB8J1RNc7X3ovQ7fN9k53xDDskwRIgARIgAS8ksDpBI18ci1NjtzX\nyP00kYaF/aRfyQB5Or+fXeaLK3pv3bol/v7+qr+8efPKunXrzPadE8Gr0WikW7dusmLFCnV9MYtx\nAhS8HrYzKHg9bMFoLgmQAAmQgNsQ+PYvjQw9n2rUnrlPBkqjkJyLXgje0aNHS0REhNXzzongxSDH\njh3jxRQWaFPwWr0d3aMiQxrcYx1oBQmQAAmQgGcRuJYs0uFkivLqGivBASJfP5tLCmr/zkkxJXiv\nXbsms2bNUrerhYeHqyuFixUrpobSCV7crvbaa6/Jtm3b9CZMmTJF6tSpI/Xr15crV67IvHnz5Pff\nf5fcuXPLtGnTpGTJkvr2aLR7925Zv369PHr0SEJCQpT4xni+Xih4fX0HcP4kQAIkQAIk4MEEFmvD\nE3AFr6VyMVEju/5MN1utSai/ROSz3Bc66VficchC5mJM8Kanp0ufPn2kV69eUrNmTdm1a5fExMQI\nxKy1grdu3bqqPcIXGjRoIPfv35egoCAVOmHoIY6Li5OwsDAJDg6W5cuXS1JSkgwaNMgSHq9/n4LX\n65eYEyQBEiABEiAB75RDxsoAACAASURBVCVQ7acUqyan0dayJGWtqaMb7JcXjMfLZo7hjYyMlK5d\nu8qMGTNkyZIlqnlaWpq0aNFCeXIDAwOt8vCWKFFCpk+fLsuWLcsyX1MhEUePHpUtW7bIxIkTrWLk\nzZUoeL15dTk3EiABEiABEvByAvDwWlPOaA+r7bsHSWu6/F8hP3k2yJIsfty+v/agm7FizMN7+PBh\nmTRpkhQtWlTfBB5aiNfQ0FCrBG+ePHnk3//+t0yePNms4EW2h/3796s68fHxKqwBY/t6oeC1Ygfk\nNJjciiFYhQRIgARIgARIwIEE4rW6uMmJFHlgQh8X0OrXDVVyScncOTPCmOA9f/68zJ07VxYuXGi0\nc53OSE1NldatW8v27dv19UaNGqUEMeJwEQO8dOlSk4IXwjo6Olp5kxHucOjQIdUXBa/Wu69NZ2H+\n407O1t3tWmMz4NPR7NmzpXz58nr7zpw5IzNnzpS7d++q17HBihQpot6n4HW7ZaRBJEACJEACJGAz\nAXNZGiZGBMirRY3H5doykKkY3r59+6rQBhw+g/S6evWqlC5dOovO6NKli9IpZcuWlZs3b0rPnj1l\n5MiREhUVJT169FCxwDjE9vDhQxW/my9fPr1OwYG12NhYJXBxAG7q1KmSkpJCwaul7FOCd8OGDerT\nDgK4hw0bphe8CCbv3r27DBkyRGrUqCGbN2+Wn3/+WR/zQsFry6POuiRAAiRAAiTgvgR0eXh/0ubh\nhbe3ovaQ2siyAfJCsHWhDJZmZipLw/Xr12XBggWCQ2XQHfXq1ZPBgwdnEbxwzK1cuVIdOkM4AnLr\n1qpVSwlltJ0/f74g4wPy++LQW6lSpfSCNzExUcaPH6+yOaB9x44dZe/evRS8viZ4jx8/LpUrV5b3\n3ntPBg4cqBe8p0+flsWLF6tNhIKNiE2yatUq9ZWAoeDFVxKIo+nXr5+lPc/3SYAESIAESIAESIAE\n3ICAT3l4dbyHDh2qUnToQhrw6Qce3REjRuiXBO9DFD/11FN6wbtp0yaBaManJ90NKm6whjSBBEiA\nBEiABEiABEjADAEKXi0cnGhEQLnuqwXwQkJoxNo899xz0rx5cxk3bpzy+CL2F18jsJAACZAACZAA\nCZAACXgGAQpe7Tp9++23gpiZ999/X79qCC6HJ/jpp5+Wli1bSuHChVUAOU86esbGppUkQAIkQAIk\nQAIkoCNAwaslce7cOZkzZ46K40VBQmhc7bd69WoV9I0Y3s8//1yddsTtJhDALL5BIDH1oVx7cFmu\n3r8opYIj5MnClXxj4pwlCZAACZAACXgRAQpe7WLikBrSfgwYMECfpeHAgQMqjx2K7tDarVu3VNgD\nXtelEvGivcCpZCKw8+J6+e7KDklMTdC/ky8wv7St8KbULt6QvEiABEiABEiABDyEAAXvfxcKqT5w\nZR9EbZkyZVQeXiR5NhS8+DfCHzZu3KgyOuA6QBbvJLD6t4Xy480Yk5OD6G1Yurl3Tp6zIgESIAES\nIAEvI+CTgtfL1pDTsTOBc3/9KvOPfWSx14+iFkmRvMUs1mMFEiABEiABEiAB1xKg4HUtf47uhgQs\neXd1JjeNaC/NIjq44QxoEgmQAAmQAAmQgCEBCl7uBxLIRGDez+Pk/L3fLHKpWvQF6V3tPYv1WIEE\nSIAESIAESOB/BJDxCjfH4Y+zCgWvs0hzHI8hYK3grRneQN6oNNBj5kVDSYAESIAEnEMAqU6/+OIL\nuXTpkgQEBEiFChVk7Nix6vZWc+XIkSNSpUoVm/P94zrjSpUqybBhw/TdP3jwQPr06SNr1641O6ZG\no5Fu3brJihUr1DXG9iiW+tQJXlyvbO+xTdlPwWuPlWUfXkUA2Rm+vrjB4py6PNOf2RosUmIFEiAB\nEvAtAjjcvnTpUnnnnXfk+eefV5mgTp06JZGRkRaFJzJBQQwWKlTIJmgQvA8fPpTRo0crwYxireBF\n3WPHjlm0zyaDLPRp6OF1xNjGbKXgtXUFWd/rCSD37tgf+ktS2v/SkWWedEjeovJ+zZmSL9D8p3Wv\nh8UJkgAJkAAJ6AnAs9mpUyflaa1Zs6ZRMrt375b169fLo0ePJCQkRIlUZIWCSN68ebO65Ap3AMyc\nOVOuXLki8+bNkxs3bijvcO/evVX61MwFgrdz587Kq7xkyRKVRSqz4L127ZrMmjVL7ty5o8bDjbLF\nij0+eK1Lv4p/d+nSRVq1aiU//vij3L17V15++WVJSUmREydOKFHdpEkTadu2rWpnzj7DPs+cOaPu\nO0hKSpKIiAh130Hjxo1VSINhPVNs7LHFKHjtQZF9eB2BX27/KKt/W2RU9OYNyC9Dqo+XUgXKed28\nOSESIAES8DQCCdMeiJ+fn81mp51NVW0CKmYvxWi+97I6PC5fvixDhgyRLVu2mLQHaVDDwsKUqF2+\nfLkSgYMGDVL1X3/9dSV84eGFZxhCFiK3du3acvXqVRkxYoQSwDqhqhsE9WbPnq1E8jPPPKNEt6Hg\nRV8Ib+jVq5cS4rt27ZKYmBiZMmVKFsELAYrbZiF6IXghgPHnjTfekISEBBWCEB0dLfny5TNrn07I\npqamSvfu3dWHgOrVq8vZs2fVfCH0Mwtec2xsXuBMDSh4c0qQ7b2WwN2kW7Lp7CpBmjJ4eyF0q4W9\nIM3+0YHpyLx21TkxEiABTyNwt8gfLjG5yN0nsoz7yy+/qDz9n376qVU2HT16VInjiRMnZhG8uAUW\nAhYCWFcWLVokxYsX13tYDQUv7hKAuOzfv78sWLBACWpdDO+FCxfUpVnw/qLAw9qiRQvZtm2b8gYb\nelnx73Xr1knBggVVXXiOp02bpr9wC5d0wTuMsczZp+sT3l2IccN5INyjTZs2WQSvIbTMbKwCaqYS\nBW9OCbI9CZAACZAACZCAywjAw5udknY2TTULqBiQneaSf2SBLO0gLOGF/eqrr0z2uXPnTtm/f796\nPz4+XoU1IKYVxdDDe/DgQSVIJ0+erO8LQhRt4PU1LPDwQvCGhoaqy7EgFseMGaPq4dAaDtFhjKJF\ni+qb3b9/X5YtW6baZBa8O3bs0HvN4d2FgEY9FHhnhw4dqi7qMmefrs9Dhw7J1q1bM8xj/Pjx0rBh\nwyyC1xybbC2SQSMK3pwSZHsSIAESIAESIAES0BKA17N9+/YCQVetWrUsTCA8EQ4AbyticiEGt2/f\nrhe8CEWAFxYhDcY8o5Y8vBClCF+AlxdxthgLgvf8+fMyd+5cWbhwodF1yix4ITx1xZTgxVwze24N\n7TP08CIMY/Hixfo+4SFGyIRhSIMlNjndYBS8OSXI9iRAAiRAAiRAAiTwXwIbNmxQYQrvvvuuVK1a\nVfz9/QUHxsqUKSM4lBUbG6sEbnJyskydOlUdCNN5eBGCAA8qMi1AuPbo0UN5aaOiolQML4QiQiaM\nxfDqPLwwA2J53LhxKlxhzZo1qi/E5Xbt2lWJTByuQ3+lS5dWVmdH8OLwmTn7dH1ifojhHTVqlPoQ\nAPGNOb7//vsZBK8lNjndYBS8OSXI9iRAAiRAAiRAAiRgQABf9SPjws2bNyVPnjwqPdmHH34oiYmJ\nyvuL7AaIse3YsaPs3btXL3gR6gBPKN5DuAHqwYuKLA2IqUXogrHsD4YhDTozEIYAD7IuD+/169dV\naAIOhkEAIwcu0qBlV/CWL1/erH2GIhpp2eBhxvwrVqyo5vLcc89lELyW2OR0g1Hw5pQg25MACZAA\nCZAACZAACbg1AQpet14eGkcCJEACJEACJEACJJBTAhS8OSXI9iRAAiRAAiRAAiRAAm5NgILXrZeH\nxpEACZAACZAACZAACeSUAAVvTgmyPQmQAAmQAAmQAAmQgFsToOB16+WhcSRAAiRAAiRAAiRAAjkl\nQMGbU4JsTwIkQAIkQAIkQAIk4NYEKHjdenlonLMIaB7ek7Tff1HDBZSpJn/F/EcSfr0ggQULSEjT\nOpKnTHFnmcJxSIAESIAEHEQgSfNADjzcKBeTj8mNlPNqlOK5npSI3JESFdRO8vplvS7YQaawWycT\noOB1MnAO514EIHQTN02UpK/nZzDsr8vF5fa5CP1r4X3aSekRb0lAIf7P0L1WkNaQAAmQgHUEfk78\nWnbGLxSIXmMFYrdZwYHyfL6m1nXIWh5FgILXo5aLxtqbwN8jq+s9u5n7TviroFw9WkX/ckjTuvLU\n5x/b2wT2RwIkQAIk4GACex+slH0PVlk1SsMCb8pLBd6yqq49KxneTGbPftnXYwIUvNwJPkvgUUy0\nPFzyttn53/y1vMTfeEJfp2L0JAltVs9nmXHiJEACJOBpBBC+8NmfQ20yu2foXBXmkJ3y3XffSXR0\ntNy5c0ddofvqq69Khw4dLHbl7oJXo9FIt27dZMWKFZIrVy6L83G3ChS87rYitMdpBOInvCSpp2LN\njpfFy9ukjjy1erLTbORAJEACJEACOSOw8E4PuZl6waZOwgOflIFFP7OpDSrfvn1b+vXrJzNmzJCI\niAglev/++28pX768xb7cXfBiAseOHZPIyOx9ELAIwMEVKHgdDJjduy+BPztZ/oSakphbLv5QQz+J\nglHPSqV/Z4z3dd8Z0jISIAES8G0Cf6XdkFm3X88WhHfD1klIgG0Hlk+dOiULFiyQxYsXGx1z9+7d\nsn79enn06JGEhITI6NGjJTw8XNU1FLzXrl2TWbNmKcGM94cPHy7FihWT5ORkee2112Tbtm36/qdM\nmSJ16tSR+vXry5UrV2TevHny+++/S+7cuWXatGlSsmRJMTduly5dpFWrVvLjjz/K3bt35eWXX5aU\nlBQ5ceKEPHz4UJo0aSJt27bNYmO2oLqwEQWvC+FzaNcSMBe/q7Mss4eXgte1a8bRSYAESCAzAcTn\n+mn/M1ZupV2Wk4nfZgtalXyNpFhAWZNtG2ljfTMXCMW+fftK48aNpU2bNpI3b94MVeLi4iQsLEyC\ng4Nl+fLlkpSUJIMGDcogJtPT06VPnz7Sq1cvqVmzpuzatUtiYmIEwtac4K1bt65qg7CDBg0ayP37\n9yUoKEj8/f3F0riwGaIXghcCGH/eeOMNSUhIUP0hRAN9eYIX2tSCUfBm6zFgI28gkBA9TJJ2LTA7\nlbtxpQV/dKXsxIFSvG97b5g+50ACJEACXkFgzM0GJueh0b5jXApbnrqltpPCY4x2ghCGNWvWyPff\nfy+NGjVSwjGz8EXDo0ePypYtW2TixIkZBO+FCxdUSMSSJUvU62lpadKiRQvl1YUYNuXhLVGihEyf\nPl2WLVtmdnLGxl23bp2KN0bp3Lmz8gyXLv34d9+AAQOUhxkhGhS8lvcNa5CA2xFASrJ7g8qLJjHe\nqG0IZ7h86DlJTwtU7+evXF4qa8MZmJrM7ZaSBpEACfgwAXh4TZUbKefk9KMfskWnSr6GEmbGw2sp\nkwPCAT777DP5448/5OOPH2f42blzp+zfv1/9Oz4+XoU1TJo0Sf2sE5OHDx9WrxUtWlRvN7y1ELIF\nChQwKXjz5Mkj//73v2Xy5KznTCyNu2PHDvHze/zRAN5dhGWEhoaqn+GBHjp0qIpDpuDN1lZiIxJw\nPYG0S8flwSc9s6QmexSfX27+9qQ8evA47y7E7pML3pf8VSu43mhaQAIkQAIkYBUBZ8fwZjbqwYMH\nKkMDBCeELEID4L1FeMChQ4dk+/btWQTv+fPnZe7cubJw4cIsc0xNTZXWrVurdroyatQoJUQR64u4\n36VLl2ZoZ+24ukYUvFZtLVYiAc8kkPzTvyXt8gllfKqEyd1jqZJw8pwEaG9aQxqysE5MRO6ZK0ur\nSYAEfJ1AdrI0lMv9rLwdavsB5Rs3bqgQBBwUQxqvrVu3yr59+9RBMhwci42NVQIXsbhTp05Vh8My\ne3gRtoCY2q5du6qDaOjn6tWr+hADCFJ4ccuWLSs3b96Unj17ysiRIyUqKkp69Oih4n9xiA0eZsTv\nYkxrxqXg9fUnhfMnARIgARIgARLwWALOzMP7n//8R+bMmaMOfyFXbaVKlaR///7K+5qYmCjjx49X\nmRRwaK1jx46yd+/eLIIXoK9fv67CCnDYDAK4Xr16MnjwYLUG8NiuXLlS9YGQCIxTq1YtJY5Rf/78\n+YIsD4gbxkG3IkWKWD0u+qeH12O3Og0nARIgARIgARLwZQKecNOaL6+PM+bOLA3OoMwxSIAESIAE\nSIAEXErg58SvZUf8AnmkeWjUjjx+QdK84CB5Ph9D2Fy6UA4anILXQWDZLQmQAAmQAAmQgHsRSNI8\nkB8ebhCEOdxIOa+MK57rSXWNcJ2g9pLX7/FBZRbvI0DB631ryhmRAAmQAAmQAAmQAAkYEKDg5XYg\nARIgARIgARIgARLwagIUvF69vJwcCZAACZAACZAACZAABS/3AAmQAAmQAAmQAAmQgFcToOD16uXl\n5EiABEiABEiABDITeJAkEnczXb38j3B/KZCXjLydAAWvt68w50cCJEACJEACJKAI/HIpXdZ8l6r+\nNizVyvlL1xcDBX+zeCcBCl7vXFfOigRIgARIgARIwIDA6n2psjYm1SwTiF788YSCK4lxuxr+sFgm\nQMFrmRFrkAAJkAAJkAAJeDCBb46nyewtKVbNYFjrXPLKcwFW1TVW6e2335Zbt26Jv/9jbzGu+F23\nbp3R/jQajXTr1k1WrFihrgi2pVDw2kJLhILXNl6sTQIkQAIkQAIk4EEEEK/bfW6SPNT+bU0J0sbz\nRg/Nm+24Xgje0aNHS0REhDXDybFjxyQyMtKquoaVKHhtQ0bBaxsv1iYBEiABEiABEvAgApsPpcnS\nXdZ5d3XTyomX15zg7dGjh/Ts2VMWLlwozz33nIwcOVKaNWsmO3fuVEPv3r1b1q9fL48ePZKQkBAl\nnMPDw9V7Z86ckTlz5khSUpIS02lpadK4cWOpXbu2vPbaa7Jt2zb9qkyZMkXq1KnDcAeDfUrB60EP\nLU0lARIgARIgARLISACxuX5+pql89580uXpXYxO2UkX85MWq5sMaTMX6mhO8r776qrzwwgvyzjvv\nSFBQkLLJUPDGxcVJWFiYBAcHy/Lly5W4HTRokKSmpkr37t1l2LBhUr16dTl79qx6HYKYgte6paXg\ntY4Ta5EACZAACZAACbghgSYfmY9V0IbJmhXExqZkTZtdHxnPZZY5hhfhCuPGjdOLWwjZkiVL6oc1\nFLyGthw9elS2bNkiEydOVN7d2bNny9KlS/VVIJrbtGlDwWvlnqTgtRIUq5EACZAACZAACbgfAXh4\nzZWYk9nz8DaoYt7D+0ZD49kczHl4IW537NihFeD/c0kbCl6ENuzfv19NJz4+XoU1IFb30KFDsnXr\nVpk8ebJ+quPHj5eGDRtS8Fq5JSl4rQTFaiRAAiRAAiRAAp5HwJ1ieI15c3WvHT58WKKjo2XGjBkq\n3AEid/v27UrwwsM7b948Wbx4sX4Bhg8fLq1atZKoqChp3bq1qqsro0aNUqESTFn2v/1Kwet5zy4t\nJgESIAESIAESsJIAsjR0m5MkCY+sa5A/j8jn7zgmS4M5wYsDa7GxsUrgJicny9SpUyUlJUX9jL8R\nwwshW61aNTl//ryK4X3//feVqO3SpYvy/pYtW1Zu3rypDsbhQBwFLwWvdbuetUiABEiABEiABDye\ngLPz8N64cSNDHt4NGzYohuYEb2JioiBM4cqVK+rQWseOHWXv3r1K8KKcOnVK5s6dK6hXsWJFKViw\noMr0AFEL7/DKlStVO4RBIKdvrVq1KHgNdi49vB7/GHMCJEACJEACJEAClghYc9NalwaBYio211L/\nfN+9CVDwuvf6KOvu3LkjCILftGmTBARk//YX3VQTEhKkd+/eUr58efXSgAEDpFixYtkmcfLkSfnq\nq6/UbTJdu3aVEiVKWNUXcgYeOXJE1cUn1kKFCqkUK5YK8hPitGru3Lnl/v37MnjwYAkNDTXZDLkK\n8akY7XDzzbvvvmvzjTaWbPLm9y9fviyrVq1SvMHyvffeU/92pwLPB24ywh5EGh98lZc/f36nmGjv\n5xNG2/MZze7zCTuy84zy+XTKtsswCJ9R65n/cildNh9MlYNn0jM0+r+n/KXN/wVKtXKPb0dj8T4C\nFLwesKZIUH3t2jX1tYY9BC+uPIRA7du3b45nD8E5ZswYmTZtmhIb2S1IvYLcg0iUban89NNPcunS\nJWnfvr388MMP6gMBchuaKvv27VOCGl8l4Rc4GOLfLNYRePjwofqgkC9fPtm4caM88cQTUq9ePesa\nO6kWbMyTJ48EBgaqNcZefPnll50yur2fTxhtr2fUXs8nbLL2GeXz6ZRtl2EQPqO2M0dcb9zNx6L3\nH+H+2b5VzfaR2cJVBCh4XUXeynH/85//yIULF9TVg2PHjrWL4EV/Bw8eVN7YnJbvvvtOCc527dpl\nuyvcJQ6PHAL0dXePm+sM482aNUsF7K9Zs0aN/Y9//MNkk9WrV6tE308//bQgrmrt2rWC060sthMA\ny0qVKqnE5+5YsJdwkrlRo0bqYIejiyOeT9hsr2fUHs8n7LHlGeXz6ehdZ75/PqOu5c/R3ZcABa/7\nro2kp6erU5c4hTlhwgS7CV6c7kTi6yJFiihPGE5z6m58sRXHl19+qQRv0aJF5e+//1bXG6JfWwqS\na//222/yxhtvWNVMJ2pw0wySd+PUqjnP97fffivwgLRs2VK+/vprOX36tLrlhsU2Ajoh8/HHH1v1\nwcS23nNeGyec8QehMR988IHDw1Yc9XyChL2eUXs8n7DHlmeUz2fO93J2e+Azml1ybOcLBCh43XiV\n8dUsYmtx0hK3tNjLw2s45e+//179cn3zzTezRQJfc0JsQkwiFQriKIcOHWpTXziVOnDgQKuFMkQN\n4gSRfxBi9vfffzdrP+JOcXoVcZEQ5hAq9vBu2zRJD6+MDwwQuljbnMR7OwMD9gRCgKz9AJVdm5zx\nfMK2nDyj9ng+YYMtzyifz+zuqJy14zOaM35s7f0EKHjdeI3h1YVYQ8GhnCpVqijRa89y4sQJ+fnn\nn+Wtt97KVrewC328/vrr2QoXgEj+9NNPVRywtQUhCZUrV1bpWK5fvy5ffPGF1SEKEL6NGzeW0qVL\nWzucz9dD/kd809CtWzeJiIhwSx74EKMLh4E38vjx4+qbC0cWZzyfsD8nz2hOn0+Mb+szyufTkbvO\neN98Rp3PnCN6HgEKXg9ZM3t6eHGo5JtvvlEHfCCo4V1FPr/sFpzgh/DE6XhkfyhVqpTVXS1btkxq\n1Kghzz//vNVt7t69KzgoVKBAAXnw4IH06NHDrICFXQsWLFD9Y5yXXnrJ6rFMVTR193mOO3bDDj7/\n/HOJiYnRrys+eOHAoDsVeFvxwQ0H11JTU9WeLly4sNNMtOfzCaPt+Yzm5PmELbY+o+7wfGZeeG9/\nXvmMOu1R50AeTICC14MXj6bbhwASdsODiVRnulRt6BlXOc6cOVPwCxyvI1ZYF5/s7b9A7UOWvZBA\n9ghk55nk85o91mxFAr5CgILXV1aa8zRKALff4L5yeIGHDRumF7z4ihzXOA4ZMkR5oDdv3qw8iBMn\nTlT9UPByQ5GAYwhk55nk8+qYtfDWXg+f3C0xRzfJtdsX1BRLhpWXF2u8JjUr/9Pjpmz4u4i/l8wv\nHwWvx21vGmxPAoj1RDwwLlPA1+A6Dy8yOSxevFjmz5+vhsMvVFzziK+HkdHC8H8suNQCX6X369fP\nnqaxLxLwSQLZeSZxFSufV5/cLjZP+tMtH8p/zh8w2q7qk3Xk7dYTbO7TWAN8S4HzJcgZj4PdFSpU\nUGdwspsRyZRRxgQvMqXgzMWKFSscnq3GLrCc1AkFr5NAcxj3JoDsA8jrqxO8uL8cHt0RI0boDcf7\nEMVPPfWUX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stroke-width: 1px; stroke: #000000; stroke-opacity: 0;\"></path><path class=\"crisp\" transform=\"translate(80,100)\" d=\"M-0.5,-1v321\" stroke-width=\"1px\" style=\"fill: none; stroke: #000000; stroke-opacity: 0;\"></path><g></g><g transform=\"translate(80,100)\"><g class=\"xtick\" data-bb=\"7753\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(25.07,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">4</text></g><g class=\"xtick\" data-bb=\"7754\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(47.63,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">5</text></g><g class=\"xtick\" data-bb=\"7755\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(66.06,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">6</text></g><g class=\"xtick\" data-bb=\"7756\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(81.65,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">7</text></g><g class=\"xtick\" data-bb=\"7757\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(95.15,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">8</text></g><g class=\"xtick\" data-bb=\"7758\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(107.06,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">9</text></g><g class=\"xtick\" data-bb=\"7759\"><text text-anchor=\"middle\" x=\"3\" y=\"340\" transform=\"translate(117.71,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\">10k</text></g><g class=\"xtick\" data-bb=\"7760\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(187.79,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">2</text></g><g class=\"xtick\" data-bb=\"7761\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(228.79,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">3</text></g><g class=\"xtick\" data-bb=\"7762\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(257.87,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 9px; fill: #444444; fill-opacity: 1; visibility: visible;\">4</text></g><g class=\"xtick\" data-bb=\"7763\"><text text-anchor=\"middle\" x=\"0\" y=\"331\" transform=\"translate(280.43,0)\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; 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stroke-width: 0px; fill: #a7fa3a; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7715\">Bespin</text></g><g class=\"traces\" transform=\"translate(0,71.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #2bf5ef; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M2.45,0A2.45,2.45 0 1,1 0,-2.45A2.45,2.45 0 0,1 2.45,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #2bf5ef; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7716\">Endor</text></g><g class=\"traces\" transform=\"translate(0,90.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #15864d; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.06,0A6.06,6.06 0 1,1 0,-6.06A6.06,6.06 0 0,1 6.06,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #15864d; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7717\">Naboo</text></g><g class=\"traces\" transform=\"translate(0,109.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #40615e; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.12,0A6.12,6.12 0 1,1 0,-6.12A6.12,6.12 0 0,1 6.12,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #40615e; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7718\">Coruscant</text></g><g class=\"traces\" transform=\"translate(0,128.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #c7f4ad; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M8,0A8,8 0 1,1 0,-8A8,8 0 0,1 8,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #c7f4ad; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7719\">Kamino</text></g><g class=\"traces\" transform=\"translate(0,147.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #2511b9; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M5.69,0A5.69,5.69 0 1,1 0,-5.69A5.69,5.69 0 0,1 5.69,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #2511b9; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7720\">Geonosis</text></g><g class=\"traces\" transform=\"translate(0,166.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #9fd666; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.45,0A6.45,6.45 0 1,1 0,-6.45A6.45,6.45 0 0,1 6.45,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #9fd666; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7721\">Utapau</text></g><g class=\"traces\" transform=\"translate(0,185.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #b54275; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M2.1,0A2.1,2.1 0 1,1 0,-2.1A2.1,2.1 0 0,1 2.1,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #b54275; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7722\">Mustafar</text></g><g class=\"traces\" transform=\"translate(0,204.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #e445bd; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.38,0A6.38,6.38 0 1,1 0,-6.38A6.38,6.38 0 0,1 6.38,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #e445bd; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7723\">Kashyyyk</text></g><g class=\"traces\" transform=\"translate(0,223.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #a20ba0; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M1,0A1,1 0 1,1 0,-1A1,1 0 0,1 1,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #a20ba0; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7724\">Polis Massa</text></g><g class=\"traces\" transform=\"translate(0,242.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #9855ce; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M5.04,0A5.04,5.04 0 1,1 0,-5.04A5.04,5.04 0 0,1 5.04,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #9855ce; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7725\">Mygeeto</text></g><g class=\"traces\" transform=\"translate(0,261.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #2dcafa; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M4.55,0A4.55,4.55 0 1,1 0,-4.55A4.55,4.55 0 0,1 4.55,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #2dcafa; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7726\">Felucia</text></g><g class=\"traces\" transform=\"translate(0,280.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #ec12e8; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M1,0A1,1 0 1,1 0,-1A1,1 0 0,1 1,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #ec12e8; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7727\">Cato Neimoidia</text></g><g class=\"traces\" transform=\"translate(0,299.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #7be73e; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M7.46,0A7.46,7.46 0 1,1 0,-7.46A7.46,7.46 0 0,1 7.46,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #7be73e; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7728\">Saleucami</text></g><g class=\"traces\" transform=\"translate(0,318.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #477ff7; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.75,0A6.75,6.75 0 1,1 0,-6.75A6.75,6.75 0 0,1 6.75,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #477ff7; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7729\">Eriadu</text></g><g class=\"traces\" transform=\"translate(0,337.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #6e8b42; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M5.5,0A5.5,5.5 0 1,1 0,-5.5A5.5,5.5 0 0,1 5.5,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #6e8b42; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7730\">Corellia</text></g><g class=\"traces\" transform=\"translate(0,356.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #a4485b; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M3.77,0A3.77,3.77 0 1,1 0,-3.77A3.77,3.77 0 0,1 3.77,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #a4485b; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7731\">Rodia</text></g><g class=\"traces\" transform=\"translate(0,375.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #588a99; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.08,0A6.08,6.08 0 1,1 0,-6.08A6.08,6.08 0 0,1 6.08,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #588a99; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7732\">Nal Hutta</text></g><g class=\"traces\" transform=\"translate(0,394.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #ed5804; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M4.92,0A4.92,4.92 0 1,1 0,-4.92A4.92,4.92 0 0,1 4.92,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #ed5804; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7733\">Dantooine</text></g><g class=\"traces\" transform=\"translate(0,413.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #160c00; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M3.2,0A3.2,3.2 0 1,1 0,-3.2A3.2,3.2 0 0,1 3.2,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #160c00; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7734\">Bestine IV</text></g><g class=\"traces\" transform=\"translate(0,432.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #8c9357; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M7.03,0A7.03,7.03 0 1,1 0,-7.03A7.03,7.03 0 0,1 7.03,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #8c9357; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7735\">Ord Mantell</text></g><g class=\"traces\" transform=\"translate(0,451.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #7cadb1; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M1,0A1,1 0 1,1 0,-1A1,1 0 0,1 1,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #7cadb1; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7736\">Trandosha</text></g><g class=\"traces\" transform=\"translate(0,470.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #3f25fc; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M1,0A1,1 0 1,1 0,-1A1,1 0 0,1 1,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #3f25fc; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7737\">Socorro</text></g><g class=\"traces\" transform=\"translate(0,489.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #c5748b; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M5.52,0A5.52,5.52 0 1,1 0,-5.52A5.52,5.52 0 0,1 5.52,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #c5748b; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7738\">Mon Cala</text></g><g class=\"traces\" transform=\"translate(0,508.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #779c27; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.75,0A6.75,6.75 0 1,1 0,-6.75A6.75,6.75 0 0,1 6.75,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #779c27; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7739\">Chandrila</text></g><g class=\"traces\" transform=\"translate(0,527.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #1827d5; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.39,0A6.39,6.39 0 1,1 0,-6.39A6.39,6.39 0 0,1 6.39,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #1827d5; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7740\">Sullust</text></g><g class=\"traces\" transform=\"translate(0,546.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #dece22; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M3.95,0A3.95,3.95 0 1,1 0,-3.95A3.95,3.95 0 0,1 3.95,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #dece22; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7741\">Toydaria</text></g><g class=\"traces\" transform=\"translate(0,565.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #061900; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M8,0A8,8 0 1,1 0,-8A8,8 0 0,1 8,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #061900; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7742\">Malastare</text></g><g class=\"traces\" transform=\"translate(0,584.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #6cbd54; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M5.24,0A5.24,5.24 0 1,1 0,-5.24A5.24,5.24 0 0,1 5.24,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #6cbd54; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7743\">Dathomir</text></g><g class=\"traces\" transform=\"translate(0,603.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #d10b82; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M5.3,0A5.3,5.3 0 1,1 0,-5.3A5.3,5.3 0 0,1 5.3,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #d10b82; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7744\">Ryloth</text></g><g class=\"traces\" transform=\"translate(0,622.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #e59e2c; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M7.45,0A7.45,7.45 0 1,1 0,-7.45A7.45,7.45 0 0,1 7.45,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #e59e2c; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7745\">Vulpter</text></g><g class=\"traces\" transform=\"translate(0,641.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #7e910b; 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stroke-width: 0px; fill: #f93c54; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7747\">Haruun Kal</text></g><g class=\"traces\" transform=\"translate(0,679.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #26f9c5; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M7.8,0A7.8,7.8 0 1,1 0,-7.8A7.8,7.8 0 0,1 7.8,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #26f9c5; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7748\">Glee Anselm</text></g><g class=\"traces\" transform=\"translate(0,698.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #c5665d; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.9,0A6.9,6.9 0 1,1 0,-6.9A6.9,6.9 0 0,1 6.9,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #c5665d; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7749\">Muunilinst</text></g><g class=\"traces\" transform=\"translate(0,717.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #e88a0f; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M6.93,0A6.93,6.93 0 1,1 0,-6.93A6.93,6.93 0 0,1 6.93,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #e88a0f; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7750\">Kalee</text></g><g class=\"traces\" transform=\"translate(0,736.5)\"><g class=\"legendfill\"></g><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: #f7f777; stroke-opacity: 1; stroke-width: 2px;\"></path></g><g class=\"legendsymbols\" style=\"opacity: 1;\"><g class=\"legendpoints\"><path class=\"scatterpts\" transform=\"translate(20,0)\" d=\"M5.23,0A5.23,5.23 0 1,1 0,-5.23A5.23,5.23 0 0,1 5.23,0Z\" style=\"opacity: 1; stroke-width: 0px; fill: #f7f777; fill-opacity: 1;\"></path></g></g><text class=\"legendtext\" x=\"40\" y=\"4.680000000000001\" style=\"text-anchor: start; font-family: 'Open sans', verdana, arial, sans-serif; font-size: 12px; fill: #444444; fill-opacity: 1; visibility: visible;\" data-bb=\"7751\">Tatooine</text></g></svg></g><g class=\"hoverlayer\" style=\"pointer-events: none;\"></g><text class=\"js-plot-link-container\" text-anchor=\"end\" x=\"693\" y=\"491\" style=\"font-family: 'Open Sans', Arial, sans-serif; font-size: 12px; fill: #444444;\"><tspan class=\"js-link-to-tool\"></tspan><tspan class=\"js-link-spacer\"></tspan><tspan class=\"js-sourcelinks\"></tspan></text></svg>"
       ],
       "text": [
        "<plotly.tools.PlotlyDisplay at 0x108a2dd30>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br>\n",
      "<br>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "People"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[[back to top](#Sections)]"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import requests\n",
      "import json"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "d = {'name':[], 'mass':[], 'height':[]}\n",
      "\n",
      "url = \"http://swapi.co/api/people/?page=1\"\n",
      "\n",
      "while url:\n",
      "    r = requests.get(url)\n",
      "    data = json.loads(r.text)\n",
      "    for i in data['results']:\n",
      "        d['name'].append(i['name'])\n",
      "        d['mass'].append(i['mass'],)\n",
      "        d['height'].append(i['height']),\n",
      "    url = data['next']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "\n",
      "df = pd.DataFrame(d)\n",
      "df = df[(df['mass']!='unknown') & (df['height']!='unknown')]\n",
      "df['mass'] = df['mass'].apply(lambda x: x.replace(',','.'))\n",
      "df['mass'] = df['mass'].astype(float)\n",
      "df['height'] = df['height'].astype(int)\n",
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>height</th>\n",
        "      <th>mass</th>\n",
        "      <th>name</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 172</td>\n",
        "      <td>  77</td>\n",
        "      <td> Luke Skywalker</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 167</td>\n",
        "      <td>  75</td>\n",
        "      <td>          C-3PO</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>  96</td>\n",
        "      <td>  32</td>\n",
        "      <td>          R2-D2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 202</td>\n",
        "      <td> 136</td>\n",
        "      <td>    Darth Vader</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 150</td>\n",
        "      <td>  49</td>\n",
        "      <td>    Leia Organa</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "   height  mass            name\n",
        "0     172    77  Luke Skywalker\n",
        "1     167    75           C-3PO\n",
        "2      96    32           R2-D2\n",
        "3     202   136     Darth Vader\n",
        "4     150    49     Leia Organa"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly.plotly as py\n",
      "from plotly.graph_objs import *\n",
      "import plotly.tools as tls\n",
      "from random import random, randrange, seed\n",
      "seed(123)\n",
      "\n",
      "traces = []\n",
      "\n",
      "for i in df.index:\n",
      "    tr = Scatter(\n",
      "        x=df.ix[i]['height'], \n",
      "        y=df.ix[i]['mass'],\n",
      "        name=df.ix[i]['name'],\n",
      "        marker=Marker(\n",
      "        color='rgb(%s, %s, %s)' % (randrange(0,256), randrange(0,256), randrange(0,256)),\n",
      "        size=df.ix[i]['mass']/df.ix[i]['height']*20))\n",
      "    traces.append(tr)\n",
      "\n",
      "layout = Layout(\n",
      "        title='Star Wars API - People',\n",
      "        showlegend=False,\n",
      "        xaxis=XAxis(\n",
      "            showgrid=False,\n",
      "            zeroline=False,\n",
      "            tick0=-1,\n",
      "            title='Mass [kg]',),\n",
      "        yaxis=YAxis(\n",
      "            showgrid=False,\n",
      "            zeroline=False,\n",
      "            title='Height [cm]',))\n",
      "\n",
      "fig = Figure(data=traces, layout=layout)\n",
      "py.iplot(fig, filename='SWAPI-People')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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       "metadata": {},
       "output_type": "pyout",
       "png": 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C8TFX5Ow/uzSCQoEhUq5qQzNzMHYEEMinAIE3n3BchgACCCDgOoEzR3fKz8tf\nkv3bVlrdpFjpKtLswdHS7IFRrrs5LSOAgOEECLyGKykDQgABBDxb4M+fF8mKeY/lOIgqdVpL7/Er\nJCComGcPlt4jgECBCBB4C4SZmyCAAAII2CNw9O//ycIX2thzqtzS+lHpNHyhXedyEgIImFuAwGvu\n+jN6BBBAQFcC859uKGeP3Viza8/x2Es/S1XLbC8HAgggkJMAgZfnAwEEEEBAFwJq3e47427JU18a\ntu4vnYcvytM1nIwAAuYTIPCar+aMGAEEENClwPrPX5T/WV5Uy8uhXmJ76p2jebmEcxFAwIQCBF4T\nFp0hI4AAAnoUyE/gVeN4+ctUPQ6HPiGAgI4ECLw6KgZdQQABBMwssPnbN2XNojF5Igit3ECGvrEz\nT9dwMgIImE+AwGu+mjNiBBBAQJcCV87/I7OGVs1T31jDmycuTkbAtAIEXtOWnoEjgAAC+hP4aHJr\n+WfvL3Z3jF0a7KbiRARMLUDgNXX5GTwCCCCgLwG1U8NHL7SW67FRuXasqeXb1to/9mau53ECAggg\nQODlGUAAAQQQ0JWAPaGXpQy6KhmdQUD3AgRe3ZeIDiKAAALmE4iPuSIRC0fLvm0rrWZ7azV5WJo9\nONotXzbx++VfxMvyf+UCwqRC4SrmKwojRsCDBQi8Hlw8uo4AAgiYQUCF38uWF9rKVW1Y4MO9mnRF\nZkSOlVWnl1jdu3HxVjKk2iRpUvzOAu8TN0QAgbwLEHjzbsYVCCCAAAImEDgV948M2N5OTscfszna\nKXXel4fL9zOBBkNEwLMFCLyeXT96jwACCCDgIoGumxvLgWt/5dr6h41/ZKY3V6WCPSH5QKKknE8R\nCfAS3xq+4hXiXbAd4G66EyDw6q4kdAgBBBBAwN0C68+vktG7utvVjTalH5I5Db+061xOcq1A8vEk\nuf5dnKRGWcJuhsOvcSHxvyfAtTendV0LEHh1XR46hwACCCBgS+CvY/slJDBYwkpXcDrSpD0DZPWZ\nT+xud3fb63afy4muEUg5lyxxy2JErmf/VdO+9fyl0AOFXXNzWtW9AIFX9yWigwgggAACaQLHL5yS\nZ5e+Jt/9sT4dRYXe3i07yjOdh1oCcFGnYD22/R754/Kvdre1pkUkOzfYreWaE+OWXpOUE8k5Nh7Q\nO0h8wnxd0wFa1bUAgVfX5aFzCCCAAAJpAnwhsw0AACAASURBVMs2rLCE3dclKjY6W5SwUuXlk9Fv\nSb3KtRxGy2vgZYbXYXKHG4h5LfcvK/FrYVna0IKlDQ5je2ADBF4PLBpdRgABBMwmoJYvPDTtUZth\nN81Dhd4Nr3zl8EzvkuNzLduRjbOLWe3L+0PLg3ady0muEdCWMyy8lmvjvnX9pNCDgbmexwnGEyDw\nGq+mjAgBBBAwnECf2SMkYsd/yxhyGuC0Ps/IkPsc2ypM7b9736815FrS1Vwt2ZosV6ICOYEZ3gJh\n9tibEHg9tnR0HAEEEDCPQPFH6tg92HphtbRZXkePVacXy/N/D8yxGXZocFTZedfHfxUjyQeTcmww\ncEgwW5Q5j9yjWiLwelS56CwCCCBgPoGN+7ZZljM8lqeBX17yd57Ot3Wy2p5s0t9PZDvT2ydsuDwT\n/oZT7kMjjguorchiP7Ks77axYYZfY3/L1mTs0uC4tGe2QOD1zLrRawQQQMA0Au4MvApZLW/4+fxq\nORV34xvXgv1C5K7SHdiVQYdPoFrLe/2nOOvdGgqJ+DXhZTUdlqtAu0TgLVBuboYAAgggkB+BvCxp\nqBsWLr++8nV+bsM1BhFQs70p///lE2xDZpCiOjgMAq+DgFyOAAIIIOB6gaELnpVPN66y60bzBk6V\n3q062XUuJyGAgDkECLzmqDOjRAABBDxaQH3hRMvnOsvVuJy3nmJ216PLTOcRcJkAgddltDSMAAII\nIOBMAbUX74Ov9LcZelXY/fa5RQ7vwevMPtMWAgjoQ4DAq4860AsEEEAAATsEomKvyjvfLxH1rWsn\nLp3RrlBBd8i9j7CMwQ4/TkHArAIEXrNWnnEjgAACCCCAAAImESDwmqTQDBMBBBBAAAEEEDCrAIHX\nrJVn3AgggAACuhCIj02Qs6euaH2pUqOMLvpEJxAwmgCB12gVZTwIIIAAAh4hoIJuxJd/yJ+bj6T3\nN6CwnzS/u7a0eaCeR4yBTiLgKQIEXk+pFP1EAAEEEDCMgAq786ZFyJVLMdmO6ZZmN0nnfs0MM14G\ngoC7BdweeD/77LM8G3Ts2FECAgLyfB0XIIAAAgggoAeBpe/8Ivt3n8yxK50sgbeRJfhyIICA4wJu\nD7xt27aVFi1a2D2SrVu3yieffCIlSpSw+xpORAABBBBAQC8Cly2zurMmrcy1O6EVi8uw59rneh4n\nIIBA7gK6CLzff/+9+Pj45N5byxndunWTBQsWEHjt0uIkBBBAAAG9CRw9cE4+mv2TXd2a8k4fu87j\nJAQQyFnA7YF36tSp8uyzz4q3t7ddtXrzzTdl4MCBEhQUZNf5GU9Ss8PTpk2TWbNmSbVq1dI/ioyM\nlJkzZ8qlS5e0358wYYKULFlS+zynz/LcAS5AAAEEEDC9AIHX9I8AAG4QcHvgLagxL1++XLZs2SLx\n8fHy1FNPpQfelJQU6d+/v4waNUoaN24sK1askB07dsiUKVMkp88Kqt/cBwEEEEDAWALqhbVXnl6e\n66Bq1a8ofYbcmet5nIAAArkL6Cbwnj17Vj788EM5fPiwxMbGZul5fl5uy9jIzp07pU6dOjJ+/HgZ\nPnx4euDdv3+/zJ8/X+bOnaudrkJujx49ZNGiRXLixAmbn+Vnhjn3cnAGAggggIAZBCK+2C6bf47M\ncaiPj7lHqtYsawYOxoiAywV0E3jHjBkjFStWlJYtW0qhQoWyDLxBgwZOwRg9erSMGDEiPfCuW7dO\nm9EdN25cevvqcxWKT548afOz8PBwp/SHRhBAAAEEzCegZnk/nLU2/QsnMguofXjverC++WAYMQIu\nEtBN4O3du7csW7bMRcP8r9nMgTciIkIOHTokI0eOTD9p7Nix0rdvXzl9+rTNzxo2bOjyvnIDBBBA\nAAFjC6z/drfssHzxRNS/N/bjDa1QTNp3b8zMrrHLzujcIKCbwPvoo4/Ke++9J/7+/i5lyBx4169f\nL+pltokTJ6bfd/DgwaLOU4HX1me1atVyaT9pHAEEEEAAAQQQQMA5AroJvF999ZWodbZq/Wzp0qWz\n7Nqgfs8ZR+bAe/DgQZk9e7a2VlcdycnJ0qVLF1myZImodcW2PgsODnZGd2gDAQQQQAABBBBAwMUC\nugm8P/30k0yfPl1SU1OzHfLatWudQpE58KqX1AYMGCDDhg1L36Vh06ZNMmPGDO0FNlufOaUzNIIA\nAggggAACCCDgcgHdBN4+ffqI+mXrpTVnLXXIHHiV8JEjR7Swff78eQkLC9P24Q0NDdXwc/rM5dXh\nBggggAACCCCAAAIOC+gq8C5dutThAdEAAggggAACCCCAAAIZBXQTeNUXP0yePDn9G84oEwIIIIAA\nAggggAACzhDQTeBds2aNfPrpp9KuXTspU6aM+Pn5WY2vTZs2zhgvbSCAAAIIIIAAAgiYTEA3gXfo\n0KE50qftomCy+jBcBBBAAAEEEEAAAQcFdBN4HRwHlyOAAAIIIIAAAgggkK2AbgJvdHS0ZLe3bXx8\nvLY3blBQECVEAAEEEEAAAQQQQCDPAroJvIMGDZIhQ4bILbfcYjUI9WUU6hvYWNKQ59pyAQIIIIAA\nAggggIBFQDeBt3379rJs2TIpVqyYVWHUzK/69rWIiAgKhgACCCCAgFsFrsQnyrQNB2X3uataP+qX\nLSrDbqsqlYsVdmu/uDkCCOQsoJvA27VrV5k2bZrUrFnTqsdHjx6VsWPHivrqYQ4EEEAAAQTcJbDL\nEnLvX7xZoq4nWXUhpJCvfNa9sbSqXNJdXeO+CCCQi4BuAu+8efPkr7/+kpEjR0qNGjW0bh86dEje\nfvttCQ8P136fAwEEEEAAAXcIqJndm99anyXspvUlqJCXdH9kr0R675NqvpXkjkKNpFPgPVLEK9Ad\n3eWeCCCQSUA3gTchIUE++ugjWb16tSQmJmrd9PHxkQceeEAGDhwoAQEBFA8BBBBAAAG3CLy99ag8\ns3ZvjveudOs+Ub/SjrLeJWVmifES6l3KLX3mpggg8J+AbgJvWpdU2D137pykpKRIaGio+Pv7Uy8E\nEEAAAQTcKtD9i+3y3YFzOfahaLkLUvehX63OaeAXLjOLj3dr381+8+PRv0lUwkkJ8a8kYcHNzc5h\n2vG7PfDu2LFD25nBy8vLriKoZQ+1atXK8k1sdl3MSQgggAACCORDYNDqXbJ098k8B151wZJSr6fP\n8p6Lvi7nLb/qlS+aj15wSV4E4pOj5OtDj8rx6E3pl5UpXEceqDpXygbWzUtTnGsAAbcH3rZt28r3\n33+vLV+w5+jWrZssWLBASpQoYc/pnIMAAggggIDDAkt2nZTB3+zKsZ0qzXZL+XqHspwzs/g48Tpf\nXmavP6yF3bSjT5OK0tvyi8M1Al8d6i8Hr3yfpXEVeh+vs941N6VV3QroIvBOnTpVvL297UJSOzl8\n+OGHBF67tDgJAQQQQMBZAk3f2yB/nY/Otjkf/0Rp1GuN+BWy3sFBnfx0/AR569tL2V7XtGpxef7+\ncGd1kXb+X0DN7r75p/WuTxlxeod/bVnecAdeJhJwe+Dt169fnrnfeustCQkJyfN1XIAAAggggEB+\nBdS2ZE+u2pkl9PoHx0qtdpulSMmorLOJlhfX/CN6yvlrCTZv+1b3+nJTKXZzyG9dsrtOrdtdFtnZ\nZpMPVJkj9Ur1dOYtaUvnAm4PvDr3oXsIIIAAAgYRSDpxVi7P+UTittxYmlC4aQMJeayT+NeplqcR\nquUNx6NitWvKFPWV7WGL5UjSiWzbGO0zTOZ/bjvsqovUsga1vIHDuQKvbS9rs8HHbl7HOl7ncuu+\nNQKv7ktEBxFAAAEE8iuQGLlH/MLrSvzmXXL2yRcl5WpMlqZKzxgrwd3a5fcWci01Vl648pbsTjyQ\n3kYZy8zu0OBeUi46XEZ8sTvHtgm8+abP8cKfjk+S7effz3JOpeBm0id8pWtuSqu6FSDw6rY0dAwB\nBBBAID8CKuRGzX5eEv648XZ+aoq3JEQ3kNSElGyb8y4aJBW/e0d8K4XK4sUzxOefX6R83GG55FdW\nrlZsJY8PetmubpxNuSjnki9qXzZRzTcs/ZoH5m/J8fpJ99eUZlV5Edsu5DycpNbxbjw1wyr01ih2\nn7ZLQ4APyyLzQGmIUwm8higjg0AAAQTMJXA69ZgcTdknARIoN3nXluJepTUAFXYvDu4kqdeupoMk\nxxWXxGv/BdDspEo+P1i+O/mhlIs/kuXj04WrSZ/J3+YbeOnvJ2WZ5Vd2R9WSgfJ2j/r5bpsL7RNQ\na3rLWLYiI+ja52XEswi8RqwqY0IAAQQMKhAnMbIkYbYcsYTdjMcdPvfJQ36PyMUnO0rCjs1WnyXF\nlJWk2NAcRY63vklSy/1i85wTtR+Xfv3G5Vt1wcZ/ZPXus1bXq7D71N3VeWEt36pciID9AroJvGpv\n3SeffDJLz+Pj47VtyIYNG2b/qDgTAQQQQMCQAnOuT5QzqcezHVvz+ObSuG3W5Qd2Bd5GAZIaftCm\nmaOzvKrhIxdjZfPRf7V7qF0ZMi5j+DvmklQMCJYQH75d1JAPLoNyu4BuAm/nzp3l66+/zgKSkJAg\nHTt2lIiICLdj0QEEEEAAAfcJ/JG8QZYnLsixA70e3yKlD16zOic1yU+uX745x+uO3HdFfIpnv8du\n2oVtXrWeVXaGxAdn9sibJ/6Uq8k3dnK4ObCEvFG9ldQJKumM5g3TxtX9++Xk6pWi/lmyyW1StU9f\n8S3Kt9UZpsAFMBC3B96VK2+8KalmcQcMGGA15JSUFFFfPRwVFSVq710OBBBAAAHzCixOmCV7U/7I\nEaDlW5FyyxdZtwhLii4vSfE31vlmPop0aStrSv4hYdG2v0nteHAD6f/sZ07FV2H35X+2ZmmzqGWW\nd02DTlKpUBGn3s9TG7v0+zb5Y/RISYr+7wcS3+BgafrhIilaq5anDot+F7CA2wPv2rVrZevWrbJx\n40a55ZZbrIavvn0tNDRUunfvLmXL2t5Pr4DNuB0CCCCAgBMFTiYck4r+lXNtcUHCFMuLavtzPK/Z\n9wnS5JUN2Z6jljakJFeQlOvJ2ufewYES8nhnKT6mn6xZ/60ErLW9RvfMLaOld/esy+5y7XQOJ9TZ\ntliikxOzPaNd8TD5oFZbR5o3zLU/33uPxJ05k2U8JRo3kaYfLTLMOBmIawXcHnjThjd79mwZM2aM\na0dL6wgggAACuhGYe+ZV+fjCO5bQd+Mbym4r0kKeq/iq1C6c/a4Fa5O+knVJWZe+ZRxQ3+QnpXTP\nMZLyVyPxjrF8tWx8JZGAE5JSYp0UerCslHjjY21PXnUENGtgZfHh3DHideQf2RndXK4klpQA71hp\nGLxJCtUoKwNGzs7RLfFaokSuPCzndl2U4tVCpGKzclKmQSmb12y+ekZ6/G17qV5Fy+zupkY9HK5V\nysVoSbX88i4VLF6WX552xJ06JT/fb3uP5Pa7//a0IdFfNwnoJvC6afzcFgEEEEDADQJ9DraX36/9\nlu2dl9T4Vuon3i5xlxMkuFxh8Svso513OfWCzIybIMne8dleVzylojwT+Lpcuu1nSfr7xjrea0GJ\nUiTGT/v3wKFVJXhGXZuj/ciyFGLRl1mXQ3RtX05GPlrV5nWXD0fJunEbJTHGerY2vFM1aTS4XrbX\nqZfU7t9t+8sPKlgC72YHAm+q5ZvgEv84KuqfaYdXSKD4Na0hXoGe82IcgdcN/89p0FvqKvDu27dP\nDhw4IHFxcVm4e/bkO68N+gwyLAQQMJnA1/8ulQnHhtocdan4cvLciv/Wy5atEyINuofJmeTr8uif\nH0rDBtvF3z/J6vromEA5svNeWb6lnpyb87d8MOCwrLvnnHZO0DUf6fBNRen9aRUpvqa5+LfK+kLY\nn39flVEv7RGfe0PFp0Up8a4cJCnHYiT5jyuSvPKkzHmhrtxSJ+tLUmpmd83QnyXm3H/BMmPHWr5w\nu1RsXi7bsea0pKFr6Royy/LyWn6PhPV7LGE3639L1UyvX0vPWvf6a9fOEn0gMgtFhQ4PS4Op0/JL\nxHUmE9BN4P3ss89kyZIlUq9ePSlcuHCWMrzwwgsmKw3DRQABBIwp8MyxwbLi309zHNzY7z+QCpdr\npJ9TuLi/nH0oUEZs3SlFgmKkbq0DUrLEFe3zYycqSOSRKpKY4C9bPw6U0YN/kfNlr2dpv+mWUvLK\nlQezneVVs7ufFPcT35ZZX2xL3n5Z7t51WZ4d9l9/0ho/b1nCsG78RptjqdAsVFq92DTbz3/495gM\njPwpy2fBPn6y6dae+d6iTC1jSPzV9lpn/7vqiJrt9ZRD7czwx6jhVut4g2uGSzPL+l12avCUKrq/\nn7oJvL169ZLnn39ebr45561j3E9GDxBAAAEEHBG4+8/2ckKyX86Q1u6wdW9K9fPWLzKfucVXnok9\nlOOtx+w+Kqs7nLJ5zvMrmspDb3fN8vmAj47Iid62X5wL/e60LO5iWQ+c6Yj8+rDsWPCXzfuVqVdS\n7p7Z0ubnai3vrBM7ZOvVs6KC7r0lqsgLVZvmO+yqG6WcuSyJW2w7qRleNdPrSUfS1aty9ud1Enfq\ntBSuUF4qPtzJk7pPX3UgoJvA2759e1m1apX4+d1Ya8WBAAIIIOAZAinRFyU5yvItYsmWZQY+vuIT\nbFkSEBIq729fIptPbJer8dFSp2y4dKv7sNQtU0tabu0l5/xz3lv9iR8/ljqXqlgDVPCXfkUO5Ihy\nZ6E/5WS5GJvnPHSmjjzf97Esn4/ZdUX+DrcdAqtGRsuCBsWyXJfbDG/VtmHSdGyjAi2kWrebsN72\ny1z+9zbwqHW8BYrHzQwroJvAO3bsWOnTp0+WrckMK8/AEEAAAQMIJJ7eLykq7GY6/rp6Sh7+5TWr\n3y1aKFhevGu8LDpRXA6X62Bz9MlRd8i4n2ZLpQTrNaghVYOkb1CkRCdar99Nayjw0hmpWvuExAfe\n+BKH7I66fuHyUauBWT56OTpJNvp52byufnyKzCyW/YTMmiHr5cqRq9lee9/8NtquDQV9JG45aJnp\nvbHkI+PhXa6Y9uIaBwJmE3Br4P3555/TvS9evKh909rdd98tlSpVsryQYP0WaZs2bcxWG8aLAAII\n6FpAzewmntxjs49zItfInAPWM7kq9PZs9L0sjh0nPmWyfpFDSlJRSdrzjczL5kvNqrQoLZebFJK+\na7dkCb2+cdFS+n9fiu+I28U/6cbX92Z31AlrIQtrdMzy0dfJqfJuYorN6wb7eUtnn+wDsdqlYcvM\nP6xCr1+grzQaUl9uahfmnhomJlt2aThiFXq1sHvrTSJ+N3a94EDATAJuDbxDh9p+SzdzEebPn2+m\nujBWBBBAwC0C8b9HSYplttO3fCHxr/XfN31dO/6HeHl5SVCl//56PuHYn5Iae2MPXXVcivGWogGp\nljyVqv3vk7GXpNW6F7OMY+jto+TTyMclptgy8Sn/jngH7REVdFP/bS9JxyfIA+cD5IGoGzsspB2+\nAd7SakwtUS+vHb8WK+/uOSx/Xboxg1km6oL8/tl74p14Xa4/01eCk7P/CuBk/0DpWf8RGReS/Qzn\nYMsXUhy50XWro4wl575byEdy+96zk5vOiAq/QWUDpaxlD171T7cfluCbYlni4K1eUiPour0cdMB9\nAm4NvO4bNndGAAEEEMgooILuxUn7Jen0f7sb+IcHiU+vo3LhxLuSfP3GvrbqCG3xhJS94wm5Hvmr\nJFpmRXee9pOz0f/NGpYMSpFbyidIYb9UuembEVmg21VvI4NunysDv0uR6EyrD5oFXZdH9llvQaXC\nboMelSXUsj1ZdsfolybJ/7bceAkuqdHNkvLYXRJoWTvsnfLfvrhJAZZrK90uqyveKRW9C2XbzllL\n2J1pCYi7M0z03mQJu+P8faSa7dUOPEgIIOABAroJvFu2bJGmTbPfukU5nj9/XuLj46VixYqivnKY\nAwEEEEDAOQIJ+6/J6W47sm0s1T9Woh9+TVILWX/ZQ6nGPaR09dbyvz3xlpfSsv6ZrGZ5b6t8WRqv\nHa+1WzS5kNRKLKP9e5Mmd8qz9z8jUZZs/eW+VPn7oiWLWra4bVrBS5pVEO0LJ87uiZLEuGQJLOEv\nah/etC+fyK6T73yySBYs/Tj9o+sDu0pys7riExclvjEXJCmotCQXKS2vFa0unQOybjuWuc3DluB7\nLTVVilhmtAm6znnGaAUBdwvoJvC2a9dOPvjgA4mMjBQfHx9p2LChlChRQvNZtmyZfPLJJxIQECAl\nS5aU1157TfsnBwIIIICA4wLnR/4tsT9fstlQ4k3bJbb5F1k+92v9luw9aXvda7LfWXlq/yR57Oqt\nMuJKMwlJ+W+Pdd8HGoj65Yzj9907ZeAz1l9Nr2Z6k1o2ktTAwnJ7+SoysUoDqe0b5Izb0QYCCHig\ngG4Cb9u2bbUtydL24T169Ki8+OKLUrduXXnwwQdl9uzZUrNmTS0UX7t2TUaPHu2B3HQZAQQQ0J/A\nP/U25Nip5OKn5NoDc7Kcc7neq3IxzvY61ctJl+S3fe/Lu+ez3zPVt70l9D7onNCbeZY3rbMP3XOv\nTHl6gv7Q6RECCBSogG4C77333ivvv/++hIXdeKP18OHD8vbbb8vLL78snTt3lh9++EFbyhATEyOD\nBw/WvpWNAwEEEEDAcYHcAq+6Q1TfG0sTMh7nar8iVxNtv8qVmJogd/+8T4qmBtjsZMBMy9fGB1rv\nypPfEamZ3qUrvpTomGsSHFREOrS9T+5q3iK/zXEdAggYSEA3gfeRRx6xCrGplvVTjz76qMyZM0e6\ndesma9euTWfv3r27fPFF1r9eM1BdGAoCCCBQYAIn2m2V5DNZv4o3rQPJZQ/LtbYLsvTnetNZcvyi\n7S2uShULlKZf/ZnjOPxHtxPvmqEFNlZuhAAC5hTQTeBVXzzRokULuf/++7Wtb1auXCkff/yx9O7d\nWxYtWiSff/65tqZXzfAOHDhQW9fLgQACCCDguMDVJafk3+mHbTYU2+pjSQyz/uaugDLVpVKPD+XH\ntX9JUlJyttfeeVt1CX71OwKv4yWiBQQQcFBAN4H35MmT8uqrr8qBAze+NrJy5cry9NNPy3fffSeh\noaGyY8cOueuuu2Tz5s1StmxZGTlypIND53IEEEAAgTSBf187LFeXnsoCknL3DokuZ/0FESrshj0w\nWQqXqSmnT1+Wbb8ftgq9vr7qxePKUqVyabk+6SvL/ro2vuo3wE8CZvWiCAgggIDLBXQTeNNGqmZw\nr1+/nr5DQ9rvqyUNGzdu1IKw+griQoWy30fR5WLcAAEEEDCogNqLN/73K9ov//AiUvSRCuJbIUCi\nDv4icecOaHvxFi5TQ0rUe9BKINGyd+2FC1flypUYCQwqJGVKF5XAwBt/RqccOCsJb/6YrZhf1ybi\nc1dtg2oyLAQQ0JOA7gKvnnDoCwIIIICA4wIq9CYu/i19pterRJD4dWsi3g3c9LW7jg+JFhBAwMME\n3B54N23aJFWqVNH2383paNOmjYfR0l0EEEAAASuB2ARJjUsQr5K5fUkvbggggIBzBdweeMePHy93\n3323rFq1KseRzZ8/37kjpzUEEEAAAQQQQAABUwi4PfCaQplBIoAAAgUocP2zjyXh+28kNeqK+NRt\nIAE9HrH8s2EB9oBbIYAAAvoS0F3gTUpKkn///VfKlLnxnescCCCAAAL2C0R1vFuSNv9qdYFX0RAp\nMucD8W//sP0NcSYCCCBgIAHdBN7o6GiZO3eubNhw4ysu1TerqeOnn36ybHtzWvr162cgdoaCAAII\nOF8gdsbLEjdzarYNq9BbfPtB8Qop5vwb0yICCCCgcwHdBN7XX39d245MBduhQ4dKRESERnf06FGZ\nNGmSLF26VOeUdA8BBBBwr0B2s7sZexS8cDmzvO4tEXdHAAE3Cegm8Hbu3FkWLlwoISEh0r59+/TA\nq2Z+1VcJr1mzxk1E3BYBBBDwDIFLZf1z7GjhsZMkcNxkzxiMAXt5Jfqq/PLnVlH/vLPR7VKlXEUD\njpIhIaBPAd0E3k6dOskHH3wgJUuWtAq8u3fvlmnTpslnn1l/048+OekVAggg4D6BvMzwply9JvH7\njop3cKAE3FzNfZ02yZ13HtgrnZ55Uv45czJ9xLNHPy+jez5uEgGGiYB7BXQTeN9++205d+6cjBgx\nQh599FH5+uuvZc+ePdq63tatW8vjj/OHgnsfFe6OAAJ6F0iIWCXRj3XLtpveFcOk2Prt2hreC29+\nIhfnLEs/z69iGam44HmCrwsL3LBve9l1aF+WO/y5+DtpWPNmF96ZphFAQAnoJvAmJibKokWLtP14\n1Vpedfj5+UmXLl20AOzj40PFEEAAAQRyEYiZ9JTEv/+21Vkq7Bb9+Etta7LMYTftRO+iQVLj14Xi\nXZQvhXD2Q6Zmdat2apltsy8MGCUvDhzt7FvSHgIIZBLQTeBN65falkzN9CYnJ0u5cuW00MuBAAII\nIGC/QPKenXJ9zWpJOX5MfC378Bbq2S99d4Z9VdvbbKjUqN5SenRf+2/EmXYJqDW7xds2yPZcljXY\nRchJCDgsoLvA6/CIaAABBBBAIFuB+L2H5egDI2zqBN5eTyp/9jp6LhBoPaSn9sJaxiMkKFh2fhLB\ny2su8KZJBDILuD3wqh0Z7DnStimz51zOQQABBBDIKqBeVIts0N0mTYnHHpayk5+EzgUCapa34/hB\n6aFXhd1Fk2dKxzvbueBuNIkAAroLvAcOHLDq05gxY+TZZ5+V0qVLW/1+zZo1qR4CCCCAgIMCx3o+\nI7Fb/8q2lcqfviaBTes7eAcuz0lAref95/RJaX1rU6AQQKAABdw+w5t5rA899JC8++67UqFChQJk\n4FYIIICAOQTULO8/ltB73bIlWcaj7PODpMTjHc2BwCgRQMB0AgRe05WcASOAAAIiUV+ulfi9Ryy7\nMgRJcLtmbEnGQ4EAAoYWIPAaurwMDgEEEEAAAQQQQIDAyzOAAAIIIIAAAgggYGgBtwde9XXCGY8v\nv/xS7rvvPilSxHrz8yeeeMLQhWBwUU9YeAAAIABJREFUCCCAAAIIIIAAAq4RcHvgnT59ul0jGz9+\nvF3ncRICCCCAAAIIIIAAAhkF3B54KQcCCCCAAAIIIIAAAq4UIPC6Upe2EUAAAQQQQAABBNwuQOB1\newnoAAIIIICALYErsdflk01/SZTlnw82rCENwsqAhQACCORZgMCbZzIuQAABBBDITiAh4Yz4+ZUU\nLy9/pwAduxglt7+0SKLirqe399xDd8ikh+9wSvs0ggAC5hEg8Jqn1owUAQQQcIlATMweuXp1S3rb\nQUF1pWhRx786t9vbX8u3Ow9l6fOWyY8y0+uSStIoAsYVIPAat7aMDAEEEHC5gJrVvXTpuyz3KVKk\nkQQHN3Lo/mVHvClX4xKytPHeY/fLI3fUc6htLkYAAXMJEHjNVW9GiwACCORbIPZ0lPwx+Xu5uP2E\n1ka5NtWl+tNFJdHnSJY2/f1DpWTJB/N9L3XhbS8ulL9OXsjSxg/jekqr8DCH2uZiBBAwlwCB11z1\nZrQIIIBAvgXWd/9Yog5YB9BSLYpJ9eeyNunrW0JKl+6c73upCxd+t1+Grlht1UbdYhXk95l9HGqX\nixFAwHwCBF7z1ZwRI4AAAnkWuPj7Cfl14OfZXtd4eYj4FvGy+swZSxp+WhojGyKPy9orf0lcSoKE\nFy4v94TUk64DS0rxst55HgMXIICAeQUIvOatPSNHAAEE7BbIKfA2//xWSSl6OL2tgIDKUrx4W7vb\ntnWiCrznjydn+fjuPkFSNszH4fZpAAEEzCNA4DVPrRkpAgggkG+BxOjr8v39CyTpmvVLZIXLFZX7\n1gyS5ORoy69r4u3tL76+JfN9n4wX/vXrdflr439bkqnP/AqJdHuqqFPapxEEEDCPAIHXPLVmpAgg\ngIBDAmfWH5Ttk9ekh14VdpvN7ightVz3ZRAbvoyVkweTtH4HFfWSVl2DWM7gUBW5GAFzChB4zVl3\nRo0AAgjkS0Dt1BC1/7x2bakmYeIXbJlydfGREC8SE5VC0HWxM80jYGQBAq+Rq8vYEEAAAQQQQAAB\nBITAy0OAAAIIIIAAAgggYGgBAq+lvOPHj5e9e/davv/9xrY6HTp0kIEDB2r/HhkZKTNnzrR8k9Al\nqVatmkyYMMGymbpzXsgw9JPF4BBAwKMF/n31M/n3tS+0MfjXqyJl54+QQvWreuSYog9dkaMf77Os\nPU6U0i3KS6Uu1T1yHHQaAQTyL0DgtdgNGjRIpk+fLsWKFbOSTElJkf79+8uoUaOkcePGsmLFCtmx\nY4dMmTIl/+JciQACphPYdeGC7L544wsbmpcrL9Uy/VmjN5CYb7fKmT6vW3XLN6y0VPlrgd66mmt/\n4s/GytaBP2lhN+2o2r+23PTozbleywkIIGAcAQKvpZa9evWSZcuWpc/wppV3//79Mn/+fJk7d672\nWyoA9+jRQxYtWiRBQUHGeQoYCQIIuEzgx2P/yMztv1u1P7ZxE2lXuYrL7ulow2d6vSYxEduyNFPp\n1zc8bpb3+JcH5eC83VZjKVI9RG5//x5HmbgeAQQ8SIDAaylWx44dpVSpUhIXFyc1atSQwYMHS2ho\nqKxbt06b0R03blx6SUeMGCHDhw+X8PBwDyozXUUAAXcIXEtMlEfWfCcxln9mPIL8/GRFh47u6JJd\n9zw3eK5Ef/q/LOdW2f2u+FZ23RZktjoXu/ucJF+Nl+AWle3qf8aTznx/TPa+vt068FazBN4PCLx5\nxuQCBDxYgMBrKV5sbKwULlzYsml6sqxcuVJ+/PFHee+99yQiIkIOHTokI0eOTC/x2LFjpW/fvtKw\nYUMPLjtdRwCBghBQSxnGbcgaHNW9Z7RqLQ1Kly6IbuT5HnG/7pFTD062uq7wHXWkQkTBL+c6Oni1\nXPr0xgytf1iIVF/aXQLrl7V7TGopw9YnfpL4c7Hp19Sf0kxby+vM46rlvyMj5r8jv0cekGDLf0/e\nGjZEbmNixJnEtIWAQwIE3mz41LKFefPmye7du2Xr1q0yceLE9LPU7O/o0aOlVq1aDsFzMQIIGF/g\nbGyM9FsTke1Av7bM8BaxzPTq9VCh999XP5fE4+elyAO3SYmJPcW7WMEu5VIzu3tbvm9FVKx9Tan+\nafc8sanQq5Y2qKN4w9LaL2cfEz9aJKs2b05vVoXerXPfdPZtaA8BBPIpQODNBq5r166ycOFCOXv2\nrMyePVtbx6sONQPcpUsXWbJkiQQHB+eTnMvcLRB77LwEuuGvZd09bu7vHoEXNv0mm8+ctrp5p+o1\nZEgD/pYot4qcfnWDnH5tg9Vp/pVCpP6eEbldWuCf95sxU7YfuBGq0461r06TCqXY1afAi8ENEchG\nwPSBV203pn7VrFlTUlNTZfny5bJt2zZtKzL1ktqAAQNk2LBh6bs0bNq0SWbMmMHD5GECKuT+PWGR\nnP32vxdxKvVpLTUnWv56lPDrYdX0vO4u3vu3bDp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font-size: 17px; fill: #444444; opacity: 1; visibility: visible;\">Star Wars API - People</text></g><g class=\"g-xtitle\" data-bb=\"7911\"><text class=\"xtitle\" x=\"350\" y=\"472\" text-anchor=\"middle\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 14px; fill: #444444; opacity: 1; visibility: visible;\">Mass [kg]</text></g><g class=\"g-ytitle\" data-bb=\"7915\"><text class=\"ytitle\" transform=\"rotate(-90,42,260) translate(0, 0)\" x=\"42\" y=\"260\" text-anchor=\"middle\" style=\"font-family: 'Open sans', verdana, arial, sans-serif; font-size: 14px; fill: #444444; opacity: 1; visibility: visible;\">Height [cm]</text></g></g><g class=\"hoverlayer\" style=\"pointer-events: none;\"></g><text class=\"js-plot-link-container\" text-anchor=\"end\" x=\"693\" y=\"491\" style=\"font-family: 'Open Sans', Arial, sans-serif; font-size: 12px; fill: #444444;\"><tspan class=\"js-link-to-tool\"></tspan><tspan class=\"js-link-spacer\"></tspan><tspan class=\"js-sourcelinks\"></tspan></text></svg>"
       ],
       "text": [
        "<plotly.tools.PlotlyDisplay at 0x108515c18>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br>\n",
      "<br>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Spaceships"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[[back to top](#Sections)]"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import requests\n",
      "import json"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "d = {'name':[], 'max_atmosphering_speed':[], 'hyperdrive_rating':[]}\n",
      "\n",
      "url = \"http://swapi.co/api/starships/?page=1\"\n",
      "\n",
      "while url:\n",
      "    r = requests.get(url)\n",
      "    data = json.loads(r.text)\n",
      "    for i in data['results']:\n",
      "        d['name'].append(i['name'])\n",
      "        d['max_atmosphering_speed'].append(i['max_atmosphering_speed'],)\n",
      "        d['hyperdrive_rating'].append(i['hyperdrive_rating']),\n",
      "    url = data['next']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "\n",
      "df = pd.DataFrame(d)\n",
      "df['max_atmosphering_speed'] = df['max_atmosphering_speed'].apply(lambda x: x.strip('km'))\n",
      "df = df[(df['max_atmosphering_speed']!='n/a') & (df['hyperdrive_rating']!='n/a')]\n",
      "df = df[(df['max_atmosphering_speed']!='unknown') & (df['hyperdrive_rating']!='unknown')]\n",
      "df['max_atmosphering_speed'] = df['max_atmosphering_speed'].astype(float)\n",
      "df['hyperdrive_rating'] = df['hyperdrive_rating'].astype(float)\n",
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>hyperdrive_rating</th>\n",
        "      <th>max_atmosphering_speed</th>\n",
        "      <th>name</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 2.0</td>\n",
        "      <td>  950</td>\n",
        "      <td>                CR90 corvette</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 2.0</td>\n",
        "      <td>  975</td>\n",
        "      <td>               Star Destroyer</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 1.0</td>\n",
        "      <td> 1000</td>\n",
        "      <td> Sentinel-class landing craft</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 0.5</td>\n",
        "      <td> 1050</td>\n",
        "      <td>            Millennium Falcon</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td> 1.0</td>\n",
        "      <td> 1000</td>\n",
        "      <td>                       Y-wing</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "   hyperdrive_rating  max_atmosphering_speed                          name\n",
        "0                2.0                     950                 CR90 corvette\n",
        "1                2.0                     975                Star Destroyer\n",
        "2                1.0                    1000  Sentinel-class landing craft\n",
        "4                0.5                    1050             Millennium Falcon\n",
        "5                1.0                    1000                        Y-wing"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly.plotly as py\n",
      "from plotly.graph_objs import *\n",
      "import plotly.tools as tls\n",
      "from random import random, randrange, seed\n",
      "seed(123)\n",
      "\n",
      "traces = []\n",
      "\n",
      "for i in df.index:\n",
      "    tr = Scatter(\n",
      "        x=df.ix[i]['max_atmosphering_speed'], \n",
      "        y=df.ix[i]['hyperdrive_rating'],\n",
      "        name=df.ix[i]['name'],\n",
      "        marker=Marker(\n",
      "        color='rgb(%s, %s, %s)' % (randrange(0,256), randrange(0,256), randrange(0,256)),\n",
      "        size=0.001 * df.ix[i]['max_atmosphering_speed']/df.ix[i]['hyperdrive_rating']*20))\n",
      "    traces.append(tr)\n",
      "\n",
      "layout = Layout(\n",
      "        title='Star Wars API - Spaceships',\n",
      "        showlegend=False,\n",
      "        xaxis=XAxis(\n",
      "            showgrid=False,\n",
      "            zeroline=False,\n",
      "            title='Max. atmosphering speed [km/h]',\n",
      "            tick0=-1,\n",
      "            type='log'),\n",
      "        yaxis=YAxis(\n",
      "            showgrid=False,\n",
      "            zeroline=False,\n",
      "            title='Hyperdrive rating',),)\n",
      "\n",
      "fig = Figure(data=traces, layout=layout)\n",
      "py.iplot(fig, filename='SWAPI-Spaceships')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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       "metadata": {},
       "output_type": "pyout",
       "png": 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nz/YV0Cbw3nvvvdK5c2e59NJLJSIiQmbMmCEffPCB9O3bVyZNmiT/+c9/zDm9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\nwuuJvbdWQffm+DquoFuXebre83GEZgIEXs0KQnMQQAABBPw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